CENG 608
3D Photography
This course covers algorithms and applications to extract 3D information (especially shape) from images. It starts with the camera model and calibration, 2D and 3D projective geometries and extracting feature points. Then it covers passive 3D reconstruction techniques such as single view reconstruction, structure from motion, shape from silhouettes. Active sensing techniques (time of flight cameras, structured light, laser scanners etc.) that directly obtain 3D data are also briefly covered.
Topics |
Camera models and calibration |
Feature point extraction and matching |
Feature point tracking and optical flow |
2D projective geometry |
RANSAC and image alignment using feature points (image warping) |
3D projective geometry and epipolar geometry |
Two-view and multi-view structure-from-motion |
3D simultaneous localization and mapping |
Depth extraction with stereo matching |
Image segmentation |
Shape-from-X |
3D reconstruction |
Active sensing techniques |
Instructor(s)
Other MS Courses
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