Course Objectives
After attending this course students should:
Understand the concepts that allow recovering 3D shape from images.
Have a good overview of the state of the art in geometric computer vision.
Be able to critically analyze and asses current research in the area
Implement components of a 3D photography system.
Course Topics
The course will cover the following topics a.o. camera model and calibration, single-view metrology, triangulation, epipolar and multi-view geometry, two-view and multi-view stereo, structured-light, feature tracking and matching, structure-from-motion, shape-from-silhouettes and 3D modeling and applications.
Target Audience
The target audience of this course are Master or PhD students, or advanced Bachelor students, that are interested in learning about geometric computer vision and related topics.
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