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Accueil > Formations > Master MVA > Présentation des cours
3D computer vision
Lecturer : Pascal MONASSE and Mathieu AUBRY (Ecole des Ponts ParisTech)
Objective of the course :
Explore the theoretical foundations of 3D computer vision from multiple views, with emphasis on binocular stereo, and show the practical limitations in the algorithmic state of the art.
Topics :
- Camera geometry, panorama construction
- Calibration, projection matrix
- Interest points, including SIFT, matching
- Essential and fundamental matrices, RANSAC algorithm
- Disparity maps with local methods and filtering
- Disparity maps with global methods, graph cuts
- Multiple view stereo
Prerequisites :
Linear algebra, optimization, basic programming in C, C++ or java.
Organization of courses :
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7x(lecture:2h, practical session:1h)
Usage of a personnal laptop is encouraged for practical sessions
Validation :
- Written exam (2h)
- Weekly reports and source code of practical sessions
- Written exam for re-take exam (1h)
References :
R. Hartley and A. Zisserman, Mutiple View Geometry in Computer Vision, 2nd edition, Cambridge University Press
R. Szeliski, Computer Vision: Algorithms and Applications, Springer, 2011
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