CLandmark

Open Source Landmarking Library

News

  • 2016-05-24 IMAVIS journal paper about CLandmark is available for download (till July 6, 2016)
  • 2016-01-07 MATLAB Learning scripts for C-DPM learning were added to the github repository!
  • 2016-01-03 New models (including dense set of landmarks) avaialble to download !
  • 2016-01-03 Screenshots for compilation under Windows added
  • 2015-11-05 Python interface for linux ready! See ipython notebook for usage example.
  • Standalone C++ examples and MATLAB learning codes will be uploaded soon...

What is CLandmark?

  • Coarse-to-fine detector (C2F-DPM) with dense landmark set (68 landmarks). Yellow box shows face detection provided by OpenCV , green box is corrected detection as computed in the coarse stage. Red dots are detected landmarks. Detection time approximately 100 ms.

  • Coarse-to-fine detector (C2F-DPM) with dense landmark set (68 landmarks). Yellow box shows face detection provided by OpenCV , green box is corrected detection as computed in the coarse stage. Red dots are detected landmarks. Detection time spent on one face is approximately 100 ms. Detector is called on each frame independently (i.e. there is no temporal information used).

  • Joiint Multi-view detector. Detection time approximately 10 ms.

  • Joint Multi-View Facial Landmark Detector with Eyedea face detector. Detector is called on each frame independently (i.e. there is no temporal information used).

  • CLandmark is an open-source landmarking library (licensed under the GNU/GPL version 3 ).
  • Written in .
  • Interface for Python (and working on Java )
  • Uses CMake for compilation
  • Written with respect to the high code portability
  • Compiles under most operating systems

  • Comes with several use-cases
  • Facial landmark detector (replacement of flandmark )
  • Multi-view facial landmark detector (simultaneously detecting discretized viewing angle and facial landmarks)

If you use this software in research, please cite this paper [Bibtex ]


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