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mola_libvision package from mola_vision repo

mola_basalt_vio mola_libvision mola_visual_tracking

ROS Distro
lyrical

Package Summary

Version 0.1.0
License GPL-3.0-or-later
Build type CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/MOLAorg/mola_vision.git
VCS Type git
VCS Version develop
Last Updated 2026-06-11
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Core C++ library for reusable classic computer vision in MOLA. Implements feature detection (Shi-Tomasi, grid distributor), pyramidal Lucas-Kanade optical flow, fundamental matrix RANSAC filtering, DLT triangulation, batch undistortion, and a custom Levenberg-Marquardt optimizer. No OpenCV or Ceres dependency — uses MRPT v3 + Eigen + TBB.

Additional Links

Maintainers

  • Jose-Luis Blanco-Claraco

Authors

No additional authors.

mola_libvision

C++ data structures and algorithms for classic computer vision, the successor to MRPT’s removed mrpt::vision module. Built on MRPT 3.x + Eigen + TBB (no OpenCV, no Ceres).

License

mola_libvision is released under the GNU General Public License v3.0 or later (GPL-3.0-or-later); see the LICENSE file.

Some components are adapted from permissively-licensed projects and retain their original copyright notices in the corresponding source files:

  • ORB descriptor bit-pattern table from OpenCV (BSD-3-Clause).
  • Bundle-adjustment / marginalization structure inspired by Basalt (BSD-3-Clause).
  • Algorithms adapted from lightweight_vio (MIT).
CHANGELOG

Changelog for package mola_libvision

Package Dependencies

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cmake
doxygen

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mola_libvision package from mola_vision repo

mola_basalt_vio mola_libvision mola_visual_tracking

ROS Distro
lyrical

Package Summary

Version 0.1.0
License GPL-3.0-or-later
Build type CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/MOLAorg/mola_vision.git
VCS Type git
VCS Version develop
Last Updated 2026-06-11
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Core C++ library for reusable classic computer vision in MOLA. Implements feature detection (Shi-Tomasi, grid distributor), pyramidal Lucas-Kanade optical flow, fundamental matrix RANSAC filtering, DLT triangulation, batch undistortion, and a custom Levenberg-Marquardt optimizer. No OpenCV or Ceres dependency — uses MRPT v3 + Eigen + TBB.

Additional Links

Maintainers

  • Jose-Luis Blanco-Claraco

Authors

No additional authors.

mola_libvision

C++ data structures and algorithms for classic computer vision, the successor to MRPT’s removed mrpt::vision module. Built on MRPT 3.x + Eigen + TBB (no OpenCV, no Ceres).

License

mola_libvision is released under the GNU General Public License v3.0 or later (GPL-3.0-or-later); see the LICENSE file.

Some components are adapted from permissively-licensed projects and retain their original copyright notices in the corresponding source files:

  • ORB descriptor bit-pattern table from OpenCV (BSD-3-Clause).
  • Bundle-adjustment / marginalization structure inspired by Basalt (BSD-3-Clause).
  • Algorithms adapted from lightweight_vio (MIT).
CHANGELOG

Changelog for package mola_libvision

Package Dependencies

System Dependencies

Name
cmake
doxygen

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No launch files found

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No message files found.

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No service files found

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No plugins found.

Recent questions tagged mola_libvision at Robotics Stack Exchange

No version for distro kilted showing lyrical. Known supported distros are highlighted in the buttons above.
Package symbol

mola_libvision package from mola_vision repo

mola_basalt_vio mola_libvision mola_visual_tracking

ROS Distro
lyrical

Package Summary

Version 0.1.0
License GPL-3.0-or-later
Build type CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/MOLAorg/mola_vision.git
VCS Type git
VCS Version develop
Last Updated 2026-06-11
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Core C++ library for reusable classic computer vision in MOLA. Implements feature detection (Shi-Tomasi, grid distributor), pyramidal Lucas-Kanade optical flow, fundamental matrix RANSAC filtering, DLT triangulation, batch undistortion, and a custom Levenberg-Marquardt optimizer. No OpenCV or Ceres dependency — uses MRPT v3 + Eigen + TBB.

Additional Links

Maintainers

  • Jose-Luis Blanco-Claraco

Authors

No additional authors.

mola_libvision

C++ data structures and algorithms for classic computer vision, the successor to MRPT’s removed mrpt::vision module. Built on MRPT 3.x + Eigen + TBB (no OpenCV, no Ceres).

License

mola_libvision is released under the GNU General Public License v3.0 or later (GPL-3.0-or-later); see the LICENSE file.

Some components are adapted from permissively-licensed projects and retain their original copyright notices in the corresponding source files:

  • ORB descriptor bit-pattern table from OpenCV (BSD-3-Clause).
  • Bundle-adjustment / marginalization structure inspired by Basalt (BSD-3-Clause).
  • Algorithms adapted from lightweight_vio (MIT).
CHANGELOG

Changelog for package mola_libvision

Package Dependencies

System Dependencies

Name
cmake
doxygen

Dependant Packages

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged mola_libvision at Robotics Stack Exchange

Package symbol

mola_libvision package from mola_vision repo

mola_basalt_vio mola_libvision mola_visual_tracking

ROS Distro
lyrical

Package Summary

Version 0.1.0
License GPL-3.0-or-later
Build type CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/MOLAorg/mola_vision.git
VCS Type git
VCS Version develop
Last Updated 2026-06-11
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Core C++ library for reusable classic computer vision in MOLA. Implements feature detection (Shi-Tomasi, grid distributor), pyramidal Lucas-Kanade optical flow, fundamental matrix RANSAC filtering, DLT triangulation, batch undistortion, and a custom Levenberg-Marquardt optimizer. No OpenCV or Ceres dependency — uses MRPT v3 + Eigen + TBB.

Additional Links

Maintainers

  • Jose-Luis Blanco-Claraco

Authors

No additional authors.

mola_libvision

C++ data structures and algorithms for classic computer vision, the successor to MRPT’s removed mrpt::vision module. Built on MRPT 3.x + Eigen + TBB (no OpenCV, no Ceres).

License

mola_libvision is released under the GNU General Public License v3.0 or later (GPL-3.0-or-later); see the LICENSE file.

Some components are adapted from permissively-licensed projects and retain their original copyright notices in the corresponding source files:

  • ORB descriptor bit-pattern table from OpenCV (BSD-3-Clause).
  • Bundle-adjustment / marginalization structure inspired by Basalt (BSD-3-Clause).
  • Algorithms adapted from lightweight_vio (MIT).
CHANGELOG

Changelog for package mola_libvision

Package Dependencies

System Dependencies

Name
cmake
doxygen

Dependant Packages

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged mola_libvision at Robotics Stack Exchange

Package symbol

mola_libvision package from mola_vision repo

mola_basalt_vio mola_libvision mola_visual_tracking

ROS Distro
rolling

Package Summary

Version 0.1.0
License GPL-3.0-or-later
Build type CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/MOLAorg/mola_vision.git
VCS Type git
VCS Version develop
Last Updated 2026-06-11
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Core C++ library for reusable classic computer vision in MOLA. Implements feature detection (Shi-Tomasi, grid distributor), pyramidal Lucas-Kanade optical flow, fundamental matrix RANSAC filtering, DLT triangulation, batch undistortion, and a custom Levenberg-Marquardt optimizer. No OpenCV or Ceres dependency — uses MRPT v3 + Eigen + TBB.

Additional Links

Maintainers

  • Jose-Luis Blanco-Claraco

Authors

No additional authors.

mola_libvision

C++ data structures and algorithms for classic computer vision, the successor to MRPT’s removed mrpt::vision module. Built on MRPT 3.x + Eigen + TBB (no OpenCV, no Ceres).

License

mola_libvision is released under the GNU General Public License v3.0 or later (GPL-3.0-or-later); see the LICENSE file.

Some components are adapted from permissively-licensed projects and retain their original copyright notices in the corresponding source files:

  • ORB descriptor bit-pattern table from OpenCV (BSD-3-Clause).
  • Bundle-adjustment / marginalization structure inspired by Basalt (BSD-3-Clause).
  • Algorithms adapted from lightweight_vio (MIT).
CHANGELOG

Changelog for package mola_libvision

Package Dependencies

System Dependencies

Name
cmake
doxygen

Dependant Packages

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged mola_libvision at Robotics Stack Exchange

No version for distro ardent showing lyrical. Known supported distros are highlighted in the buttons above.
Package symbol

mola_libvision package from mola_vision repo

mola_basalt_vio mola_libvision mola_visual_tracking

ROS Distro
lyrical

Package Summary

Version 0.1.0
License GPL-3.0-or-later
Build type CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/MOLAorg/mola_vision.git
VCS Type git
VCS Version develop
Last Updated 2026-06-11
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Core C++ library for reusable classic computer vision in MOLA. Implements feature detection (Shi-Tomasi, grid distributor), pyramidal Lucas-Kanade optical flow, fundamental matrix RANSAC filtering, DLT triangulation, batch undistortion, and a custom Levenberg-Marquardt optimizer. No OpenCV or Ceres dependency — uses MRPT v3 + Eigen + TBB.

Additional Links

Maintainers

  • Jose-Luis Blanco-Claraco

Authors

No additional authors.

mola_libvision

C++ data structures and algorithms for classic computer vision, the successor to MRPT’s removed mrpt::vision module. Built on MRPT 3.x + Eigen + TBB (no OpenCV, no Ceres).

License

mola_libvision is released under the GNU General Public License v3.0 or later (GPL-3.0-or-later); see the LICENSE file.

Some components are adapted from permissively-licensed projects and retain their original copyright notices in the corresponding source files:

  • ORB descriptor bit-pattern table from OpenCV (BSD-3-Clause).
  • Bundle-adjustment / marginalization structure inspired by Basalt (BSD-3-Clause).
  • Algorithms adapted from lightweight_vio (MIT).
CHANGELOG

Changelog for package mola_libvision

Package Dependencies

System Dependencies

Name
cmake
doxygen

Dependant Packages

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged mola_libvision at Robotics Stack Exchange

No version for distro bouncy showing lyrical. Known supported distros are highlighted in the buttons above.
Package symbol

mola_libvision package from mola_vision repo

mola_basalt_vio mola_libvision mola_visual_tracking

ROS Distro
lyrical

Package Summary

Version 0.1.0
License GPL-3.0-or-later
Build type CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/MOLAorg/mola_vision.git
VCS Type git
VCS Version develop
Last Updated 2026-06-11
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Core C++ library for reusable classic computer vision in MOLA. Implements feature detection (Shi-Tomasi, grid distributor), pyramidal Lucas-Kanade optical flow, fundamental matrix RANSAC filtering, DLT triangulation, batch undistortion, and a custom Levenberg-Marquardt optimizer. No OpenCV or Ceres dependency — uses MRPT v3 + Eigen + TBB.

Additional Links

Maintainers

  • Jose-Luis Blanco-Claraco

Authors

No additional authors.

mola_libvision

C++ data structures and algorithms for classic computer vision, the successor to MRPT’s removed mrpt::vision module. Built on MRPT 3.x + Eigen + TBB (no OpenCV, no Ceres).

License

mola_libvision is released under the GNU General Public License v3.0 or later (GPL-3.0-or-later); see the LICENSE file.

Some components are adapted from permissively-licensed projects and retain their original copyright notices in the corresponding source files:

  • ORB descriptor bit-pattern table from OpenCV (BSD-3-Clause).
  • Bundle-adjustment / marginalization structure inspired by Basalt (BSD-3-Clause).
  • Algorithms adapted from lightweight_vio (MIT).
CHANGELOG

Changelog for package mola_libvision

Package Dependencies

System Dependencies

Name
cmake
doxygen

Dependant Packages

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged mola_libvision at Robotics Stack Exchange

No version for distro crystal showing lyrical. Known supported distros are highlighted in the buttons above.
Package symbol

mola_libvision package from mola_vision repo

mola_basalt_vio mola_libvision mola_visual_tracking

ROS Distro
lyrical

Package Summary

Version 0.1.0
License GPL-3.0-or-later
Build type CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/MOLAorg/mola_vision.git
VCS Type git
VCS Version develop
Last Updated 2026-06-11
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Core C++ library for reusable classic computer vision in MOLA. Implements feature detection (Shi-Tomasi, grid distributor), pyramidal Lucas-Kanade optical flow, fundamental matrix RANSAC filtering, DLT triangulation, batch undistortion, and a custom Levenberg-Marquardt optimizer. No OpenCV or Ceres dependency — uses MRPT v3 + Eigen + TBB.

Additional Links

Maintainers

  • Jose-Luis Blanco-Claraco

Authors

No additional authors.

mola_libvision

C++ data structures and algorithms for classic computer vision, the successor to MRPT’s removed mrpt::vision module. Built on MRPT 3.x + Eigen + TBB (no OpenCV, no Ceres).

License

mola_libvision is released under the GNU General Public License v3.0 or later (GPL-3.0-or-later); see the LICENSE file.

Some components are adapted from permissively-licensed projects and retain their original copyright notices in the corresponding source files:

  • ORB descriptor bit-pattern table from OpenCV (BSD-3-Clause).
  • Bundle-adjustment / marginalization structure inspired by Basalt (BSD-3-Clause).
  • Algorithms adapted from lightweight_vio (MIT).
CHANGELOG

Changelog for package mola_libvision

Package Dependencies

System Dependencies

Name
cmake
doxygen

Dependant Packages

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged mola_libvision at Robotics Stack Exchange

No version for distro eloquent showing lyrical. Known supported distros are highlighted in the buttons above.
Package symbol

mola_libvision package from mola_vision repo

mola_basalt_vio mola_libvision mola_visual_tracking

ROS Distro
lyrical

Package Summary

Version 0.1.0
License GPL-3.0-or-later
Build type CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/MOLAorg/mola_vision.git
VCS Type git
VCS Version develop
Last Updated 2026-06-11
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Core C++ library for reusable classic computer vision in MOLA. Implements feature detection (Shi-Tomasi, grid distributor), pyramidal Lucas-Kanade optical flow, fundamental matrix RANSAC filtering, DLT triangulation, batch undistortion, and a custom Levenberg-Marquardt optimizer. No OpenCV or Ceres dependency — uses MRPT v3 + Eigen + TBB.

Additional Links

Maintainers

  • Jose-Luis Blanco-Claraco

Authors

No additional authors.

mola_libvision

C++ data structures and algorithms for classic computer vision, the successor to MRPT’s removed mrpt::vision module. Built on MRPT 3.x + Eigen + TBB (no OpenCV, no Ceres).

License

mola_libvision is released under the GNU General Public License v3.0 or later (GPL-3.0-or-later); see the LICENSE file.

Some components are adapted from permissively-licensed projects and retain their original copyright notices in the corresponding source files:

  • ORB descriptor bit-pattern table from OpenCV (BSD-3-Clause).
  • Bundle-adjustment / marginalization structure inspired by Basalt (BSD-3-Clause).
  • Algorithms adapted from lightweight_vio (MIT).
CHANGELOG

Changelog for package mola_libvision

Package Dependencies

System Dependencies

Name
cmake
doxygen

Dependant Packages

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged mola_libvision at Robotics Stack Exchange

No version for distro dashing showing lyrical. Known supported distros are highlighted in the buttons above.
Package symbol

mola_libvision package from mola_vision repo

mola_basalt_vio mola_libvision mola_visual_tracking

ROS Distro
lyrical

Package Summary

Version 0.1.0
License GPL-3.0-or-later
Build type CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/MOLAorg/mola_vision.git
VCS Type git
VCS Version develop
Last Updated 2026-06-11
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Core C++ library for reusable classic computer vision in MOLA. Implements feature detection (Shi-Tomasi, grid distributor), pyramidal Lucas-Kanade optical flow, fundamental matrix RANSAC filtering, DLT triangulation, batch undistortion, and a custom Levenberg-Marquardt optimizer. No OpenCV or Ceres dependency — uses MRPT v3 + Eigen + TBB.

Additional Links

Maintainers

  • Jose-Luis Blanco-Claraco

Authors

No additional authors.

mola_libvision

C++ data structures and algorithms for classic computer vision, the successor to MRPT’s removed mrpt::vision module. Built on MRPT 3.x + Eigen + TBB (no OpenCV, no Ceres).

License

mola_libvision is released under the GNU General Public License v3.0 or later (GPL-3.0-or-later); see the LICENSE file.

Some components are adapted from permissively-licensed projects and retain their original copyright notices in the corresponding source files:

  • ORB descriptor bit-pattern table from OpenCV (BSD-3-Clause).
  • Bundle-adjustment / marginalization structure inspired by Basalt (BSD-3-Clause).
  • Algorithms adapted from lightweight_vio (MIT).
CHANGELOG

Changelog for package mola_libvision

Package Dependencies

System Dependencies

Name
cmake
doxygen

Dependant Packages

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged mola_libvision at Robotics Stack Exchange

No version for distro galactic showing lyrical. Known supported distros are highlighted in the buttons above.
Package symbol

mola_libvision package from mola_vision repo

mola_basalt_vio mola_libvision mola_visual_tracking

ROS Distro
lyrical

Package Summary

Version 0.1.0
License GPL-3.0-or-later
Build type CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/MOLAorg/mola_vision.git
VCS Type git
VCS Version develop
Last Updated 2026-06-11
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Core C++ library for reusable classic computer vision in MOLA. Implements feature detection (Shi-Tomasi, grid distributor), pyramidal Lucas-Kanade optical flow, fundamental matrix RANSAC filtering, DLT triangulation, batch undistortion, and a custom Levenberg-Marquardt optimizer. No OpenCV or Ceres dependency — uses MRPT v3 + Eigen + TBB.

Additional Links

Maintainers

  • Jose-Luis Blanco-Claraco

Authors

No additional authors.

mola_libvision

C++ data structures and algorithms for classic computer vision, the successor to MRPT’s removed mrpt::vision module. Built on MRPT 3.x + Eigen + TBB (no OpenCV, no Ceres).

License

mola_libvision is released under the GNU General Public License v3.0 or later (GPL-3.0-or-later); see the LICENSE file.

Some components are adapted from permissively-licensed projects and retain their original copyright notices in the corresponding source files:

  • ORB descriptor bit-pattern table from OpenCV (BSD-3-Clause).
  • Bundle-adjustment / marginalization structure inspired by Basalt (BSD-3-Clause).
  • Algorithms adapted from lightweight_vio (MIT).
CHANGELOG

Changelog for package mola_libvision

Package Dependencies

System Dependencies

Name
cmake
doxygen

Dependant Packages

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged mola_libvision at Robotics Stack Exchange

No version for distro foxy showing lyrical. Known supported distros are highlighted in the buttons above.
Package symbol

mola_libvision package from mola_vision repo

mola_basalt_vio mola_libvision mola_visual_tracking

ROS Distro
lyrical

Package Summary

Version 0.1.0
License GPL-3.0-or-later
Build type CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/MOLAorg/mola_vision.git
VCS Type git
VCS Version develop
Last Updated 2026-06-11
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Core C++ library for reusable classic computer vision in MOLA. Implements feature detection (Shi-Tomasi, grid distributor), pyramidal Lucas-Kanade optical flow, fundamental matrix RANSAC filtering, DLT triangulation, batch undistortion, and a custom Levenberg-Marquardt optimizer. No OpenCV or Ceres dependency — uses MRPT v3 + Eigen + TBB.

Additional Links

Maintainers

  • Jose-Luis Blanco-Claraco

Authors

No additional authors.

mola_libvision

C++ data structures and algorithms for classic computer vision, the successor to MRPT’s removed mrpt::vision module. Built on MRPT 3.x + Eigen + TBB (no OpenCV, no Ceres).

License

mola_libvision is released under the GNU General Public License v3.0 or later (GPL-3.0-or-later); see the LICENSE file.

Some components are adapted from permissively-licensed projects and retain their original copyright notices in the corresponding source files:

  • ORB descriptor bit-pattern table from OpenCV (BSD-3-Clause).
  • Bundle-adjustment / marginalization structure inspired by Basalt (BSD-3-Clause).
  • Algorithms adapted from lightweight_vio (MIT).
CHANGELOG

Changelog for package mola_libvision

Package Dependencies

System Dependencies

Name
cmake
doxygen

Dependant Packages

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged mola_libvision at Robotics Stack Exchange

No version for distro iron showing lyrical. Known supported distros are highlighted in the buttons above.
Package symbol

mola_libvision package from mola_vision repo

mola_basalt_vio mola_libvision mola_visual_tracking

ROS Distro
lyrical

Package Summary

Version 0.1.0
License GPL-3.0-or-later
Build type CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/MOLAorg/mola_vision.git
VCS Type git
VCS Version develop
Last Updated 2026-06-11
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Core C++ library for reusable classic computer vision in MOLA. Implements feature detection (Shi-Tomasi, grid distributor), pyramidal Lucas-Kanade optical flow, fundamental matrix RANSAC filtering, DLT triangulation, batch undistortion, and a custom Levenberg-Marquardt optimizer. No OpenCV or Ceres dependency — uses MRPT v3 + Eigen + TBB.

Additional Links

Maintainers

  • Jose-Luis Blanco-Claraco

Authors

No additional authors.

mola_libvision

C++ data structures and algorithms for classic computer vision, the successor to MRPT’s removed mrpt::vision module. Built on MRPT 3.x + Eigen + TBB (no OpenCV, no Ceres).

License

mola_libvision is released under the GNU General Public License v3.0 or later (GPL-3.0-or-later); see the LICENSE file.

Some components are adapted from permissively-licensed projects and retain their original copyright notices in the corresponding source files:

  • ORB descriptor bit-pattern table from OpenCV (BSD-3-Clause).
  • Bundle-adjustment / marginalization structure inspired by Basalt (BSD-3-Clause).
  • Algorithms adapted from lightweight_vio (MIT).
CHANGELOG

Changelog for package mola_libvision

Package Dependencies

System Dependencies

Name
cmake
doxygen

Dependant Packages

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged mola_libvision at Robotics Stack Exchange

No version for distro lunar showing lyrical. Known supported distros are highlighted in the buttons above.
Package symbol

mola_libvision package from mola_vision repo

mola_basalt_vio mola_libvision mola_visual_tracking

ROS Distro
lyrical

Package Summary

Version 0.1.0
License GPL-3.0-or-later
Build type CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/MOLAorg/mola_vision.git
VCS Type git
VCS Version develop
Last Updated 2026-06-11
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Core C++ library for reusable classic computer vision in MOLA. Implements feature detection (Shi-Tomasi, grid distributor), pyramidal Lucas-Kanade optical flow, fundamental matrix RANSAC filtering, DLT triangulation, batch undistortion, and a custom Levenberg-Marquardt optimizer. No OpenCV or Ceres dependency — uses MRPT v3 + Eigen + TBB.

Additional Links

Maintainers

  • Jose-Luis Blanco-Claraco

Authors

No additional authors.

mola_libvision

C++ data structures and algorithms for classic computer vision, the successor to MRPT’s removed mrpt::vision module. Built on MRPT 3.x + Eigen + TBB (no OpenCV, no Ceres).

License

mola_libvision is released under the GNU General Public License v3.0 or later (GPL-3.0-or-later); see the LICENSE file.

Some components are adapted from permissively-licensed projects and retain their original copyright notices in the corresponding source files:

  • ORB descriptor bit-pattern table from OpenCV (BSD-3-Clause).
  • Bundle-adjustment / marginalization structure inspired by Basalt (BSD-3-Clause).
  • Algorithms adapted from lightweight_vio (MIT).
CHANGELOG

Changelog for package mola_libvision

Package Dependencies

System Dependencies

Name
cmake
doxygen

Dependant Packages

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged mola_libvision at Robotics Stack Exchange

No version for distro jade showing lyrical. Known supported distros are highlighted in the buttons above.
Package symbol

mola_libvision package from mola_vision repo

mola_basalt_vio mola_libvision mola_visual_tracking

ROS Distro
lyrical

Package Summary

Version 0.1.0
License GPL-3.0-or-later
Build type CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/MOLAorg/mola_vision.git
VCS Type git
VCS Version develop
Last Updated 2026-06-11
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Core C++ library for reusable classic computer vision in MOLA. Implements feature detection (Shi-Tomasi, grid distributor), pyramidal Lucas-Kanade optical flow, fundamental matrix RANSAC filtering, DLT triangulation, batch undistortion, and a custom Levenberg-Marquardt optimizer. No OpenCV or Ceres dependency — uses MRPT v3 + Eigen + TBB.

Additional Links

Maintainers

  • Jose-Luis Blanco-Claraco

Authors

No additional authors.

mola_libvision

C++ data structures and algorithms for classic computer vision, the successor to MRPT’s removed mrpt::vision module. Built on MRPT 3.x + Eigen + TBB (no OpenCV, no Ceres).

License

mola_libvision is released under the GNU General Public License v3.0 or later (GPL-3.0-or-later); see the LICENSE file.

Some components are adapted from permissively-licensed projects and retain their original copyright notices in the corresponding source files:

  • ORB descriptor bit-pattern table from OpenCV (BSD-3-Clause).
  • Bundle-adjustment / marginalization structure inspired by Basalt (BSD-3-Clause).
  • Algorithms adapted from lightweight_vio (MIT).
CHANGELOG

Changelog for package mola_libvision

Package Dependencies

System Dependencies

Name
cmake
doxygen

Dependant Packages

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged mola_libvision at Robotics Stack Exchange

No version for distro indigo showing lyrical. Known supported distros are highlighted in the buttons above.
Package symbol

mola_libvision package from mola_vision repo

mola_basalt_vio mola_libvision mola_visual_tracking

ROS Distro
lyrical

Package Summary

Version 0.1.0
License GPL-3.0-or-later
Build type CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/MOLAorg/mola_vision.git
VCS Type git
VCS Version develop
Last Updated 2026-06-11
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Core C++ library for reusable classic computer vision in MOLA. Implements feature detection (Shi-Tomasi, grid distributor), pyramidal Lucas-Kanade optical flow, fundamental matrix RANSAC filtering, DLT triangulation, batch undistortion, and a custom Levenberg-Marquardt optimizer. No OpenCV or Ceres dependency — uses MRPT v3 + Eigen + TBB.

Additional Links

Maintainers

  • Jose-Luis Blanco-Claraco

Authors

No additional authors.

mola_libvision

C++ data structures and algorithms for classic computer vision, the successor to MRPT’s removed mrpt::vision module. Built on MRPT 3.x + Eigen + TBB (no OpenCV, no Ceres).

License

mola_libvision is released under the GNU General Public License v3.0 or later (GPL-3.0-or-later); see the LICENSE file.

Some components are adapted from permissively-licensed projects and retain their original copyright notices in the corresponding source files:

  • ORB descriptor bit-pattern table from OpenCV (BSD-3-Clause).
  • Bundle-adjustment / marginalization structure inspired by Basalt (BSD-3-Clause).
  • Algorithms adapted from lightweight_vio (MIT).
CHANGELOG

Changelog for package mola_libvision

Package Dependencies

System Dependencies

Name
cmake
doxygen

Dependant Packages

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged mola_libvision at Robotics Stack Exchange

No version for distro hydro showing lyrical. Known supported distros are highlighted in the buttons above.
Package symbol

mola_libvision package from mola_vision repo

mola_basalt_vio mola_libvision mola_visual_tracking

ROS Distro
lyrical

Package Summary

Version 0.1.0
License GPL-3.0-or-later
Build type CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/MOLAorg/mola_vision.git
VCS Type git
VCS Version develop
Last Updated 2026-06-11
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Core C++ library for reusable classic computer vision in MOLA. Implements feature detection (Shi-Tomasi, grid distributor), pyramidal Lucas-Kanade optical flow, fundamental matrix RANSAC filtering, DLT triangulation, batch undistortion, and a custom Levenberg-Marquardt optimizer. No OpenCV or Ceres dependency — uses MRPT v3 + Eigen + TBB.

Additional Links

Maintainers

  • Jose-Luis Blanco-Claraco

Authors

No additional authors.

mola_libvision

C++ data structures and algorithms for classic computer vision, the successor to MRPT’s removed mrpt::vision module. Built on MRPT 3.x + Eigen + TBB (no OpenCV, no Ceres).

License

mola_libvision is released under the GNU General Public License v3.0 or later (GPL-3.0-or-later); see the LICENSE file.

Some components are adapted from permissively-licensed projects and retain their original copyright notices in the corresponding source files:

  • ORB descriptor bit-pattern table from OpenCV (BSD-3-Clause).
  • Bundle-adjustment / marginalization structure inspired by Basalt (BSD-3-Clause).
  • Algorithms adapted from lightweight_vio (MIT).
CHANGELOG

Changelog for package mola_libvision

Package Dependencies

System Dependencies

Name
cmake
doxygen

Dependant Packages

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged mola_libvision at Robotics Stack Exchange

No version for distro kinetic showing lyrical. Known supported distros are highlighted in the buttons above.
Package symbol

mola_libvision package from mola_vision repo

mola_basalt_vio mola_libvision mola_visual_tracking

ROS Distro
lyrical

Package Summary

Version 0.1.0
License GPL-3.0-or-later
Build type CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/MOLAorg/mola_vision.git
VCS Type git
VCS Version develop
Last Updated 2026-06-11
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Core C++ library for reusable classic computer vision in MOLA. Implements feature detection (Shi-Tomasi, grid distributor), pyramidal Lucas-Kanade optical flow, fundamental matrix RANSAC filtering, DLT triangulation, batch undistortion, and a custom Levenberg-Marquardt optimizer. No OpenCV or Ceres dependency — uses MRPT v3 + Eigen + TBB.

Additional Links

Maintainers

  • Jose-Luis Blanco-Claraco

Authors

No additional authors.

mola_libvision

C++ data structures and algorithms for classic computer vision, the successor to MRPT’s removed mrpt::vision module. Built on MRPT 3.x + Eigen + TBB (no OpenCV, no Ceres).

License

mola_libvision is released under the GNU General Public License v3.0 or later (GPL-3.0-or-later); see the LICENSE file.

Some components are adapted from permissively-licensed projects and retain their original copyright notices in the corresponding source files:

  • ORB descriptor bit-pattern table from OpenCV (BSD-3-Clause).
  • Bundle-adjustment / marginalization structure inspired by Basalt (BSD-3-Clause).
  • Algorithms adapted from lightweight_vio (MIT).
CHANGELOG

Changelog for package mola_libvision

Package Dependencies

System Dependencies

Name
cmake
doxygen

Dependant Packages

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged mola_libvision at Robotics Stack Exchange

No version for distro melodic showing lyrical. Known supported distros are highlighted in the buttons above.
Package symbol

mola_libvision package from mola_vision repo

mola_basalt_vio mola_libvision mola_visual_tracking

ROS Distro
lyrical

Package Summary

Version 0.1.0
License GPL-3.0-or-later
Build type CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/MOLAorg/mola_vision.git
VCS Type git
VCS Version develop
Last Updated 2026-06-11
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Core C++ library for reusable classic computer vision in MOLA. Implements feature detection (Shi-Tomasi, grid distributor), pyramidal Lucas-Kanade optical flow, fundamental matrix RANSAC filtering, DLT triangulation, batch undistortion, and a custom Levenberg-Marquardt optimizer. No OpenCV or Ceres dependency — uses MRPT v3 + Eigen + TBB.

Additional Links

Maintainers

  • Jose-Luis Blanco-Claraco

Authors

No additional authors.

mola_libvision

C++ data structures and algorithms for classic computer vision, the successor to MRPT’s removed mrpt::vision module. Built on MRPT 3.x + Eigen + TBB (no OpenCV, no Ceres).

License

mola_libvision is released under the GNU General Public License v3.0 or later (GPL-3.0-or-later); see the LICENSE file.

Some components are adapted from permissively-licensed projects and retain their original copyright notices in the corresponding source files:

  • ORB descriptor bit-pattern table from OpenCV (BSD-3-Clause).
  • Bundle-adjustment / marginalization structure inspired by Basalt (BSD-3-Clause).
  • Algorithms adapted from lightweight_vio (MIT).
CHANGELOG

Changelog for package mola_libvision

Package Dependencies

System Dependencies

Name
cmake
doxygen

Dependant Packages

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged mola_libvision at Robotics Stack Exchange

No version for distro noetic showing lyrical. Known supported distros are highlighted in the buttons above.
Package symbol

mola_libvision package from mola_vision repo

mola_basalt_vio mola_libvision mola_visual_tracking

ROS Distro
lyrical

Package Summary

Version 0.1.0
License GPL-3.0-or-later
Build type CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/MOLAorg/mola_vision.git
VCS Type git
VCS Version develop
Last Updated 2026-06-11
Dev Status DEVELOPED
Released UNRELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

Core C++ library for reusable classic computer vision in MOLA. Implements feature detection (Shi-Tomasi, grid distributor), pyramidal Lucas-Kanade optical flow, fundamental matrix RANSAC filtering, DLT triangulation, batch undistortion, and a custom Levenberg-Marquardt optimizer. No OpenCV or Ceres dependency — uses MRPT v3 + Eigen + TBB.

Additional Links

Maintainers

  • Jose-Luis Blanco-Claraco

Authors

No additional authors.

mola_libvision

C++ data structures and algorithms for classic computer vision, the successor to MRPT’s removed mrpt::vision module. Built on MRPT 3.x + Eigen + TBB (no OpenCV, no Ceres).

License

mola_libvision is released under the GNU General Public License v3.0 or later (GPL-3.0-or-later); see the LICENSE file.

Some components are adapted from permissively-licensed projects and retain their original copyright notices in the corresponding source files:

  • ORB descriptor bit-pattern table from OpenCV (BSD-3-Clause).
  • Bundle-adjustment / marginalization structure inspired by Basalt (BSD-3-Clause).
  • Algorithms adapted from lightweight_vio (MIT).
CHANGELOG

Changelog for package mola_libvision

Package Dependencies

System Dependencies

Name
cmake
doxygen

Dependant Packages

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged mola_libvision at Robotics Stack Exchange