Facial landmark detection, Another Great results from Czech Republic

Facial landmark detector
This is another great result of the Czech school of computer vision. The facial landmark detector was developed at Czech Technical University in Prague, Center for Machine Perception mainly by Michal Uřičák and Vojtěch Franc. 
They both work for Eydea on commercial products if I remember correctly.

This is me on the video using opencv 3 under Visual Studio 2015 with Clandmark Lib. I have no use in my products but it's pretty cool playing with this in my free time. This is a great cross-platform lib for iPhone Android Applications and also for Windows 10 Universal Apps.

Look at a video on the original project page. I experimented a bit with floating point precision in a solver. And the results are a little bit worse. :)

Here is links to the Original web page of the projects with broader description.


Flandmark is an open-source C library (with an interface to MATLAB) implementing a facial landmark detector in static images.


CLandmark is an open-source facial landmark lib. Written in C++. The next great generation of Flandmark.
References are taken from both project's site.

[1] M. Uricar, V. Franc, D. Thomas, A. Sugimoto, and V. Hlavac, Real-time Multi-view Facial Landmark Detector Learned by the Structured Output SVM, BWILD '15: International Workshop on Biometrics in the Wild, 2015.

[2] M. Uricar, V. Franc and V. Hlavac, Detector of Facial Landmarks Learned by the Structured Output SVM, VISAPP '12: Proceedings of the 7th International Conference on Computer Vision Theory and Applications, 2012. Received Best Paper Award 

[3] M. Uricar, Detector of facial landmarks, Master's Thesis, supervised by V. Franc, May 2011. [pdf]
J. Sivic, M. Everingham and A. Zisserman, "Who are you?" - Learning Person Specific Classifiers from Video, Proc. of IEEE Conference on Computer Vision and Pattern Recognition, 2009. 

[4] G. B. Huang, M. Ramesh, T. Berg and E. Learned-Miller, Labeled faces in the wild: A database for studying face recognition in unconstrained environments, Technical Report 07-49. University of Massachusetts, Amherst, 2007. 
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  • Pornhub
    Pornhub November 7, 2019 at 11:27 PM

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  • murakami
    murakami November 23, 2019 at 2:08 AM

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