3D Vision

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The course covers camera models and calibration, feature tracking and matching, camera motion estimation via simultaneous localization and mapping (SLAM) and visual odometry (VO), epipolar and mult-view geometry, structure-from-motion, (multi-view) stereo, augmented reality, and image-based (re-)localization.


After attending this course, students will:

1. understand the core concepts for recovering 3D shape of objects and scenes from images and video.

2. be able to implement basic systems for vision-based robotics and simple virtual/augmented reality applications.

3. have a good overview over the current state-of-the art in 3D vision.

4. be able to critically analyze and asses current research in this area.


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