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EE 569 3D Vision Select Term:
This course deals with a central problem in vision -how to recover 3-D structure and motion from a collection of 2-D images-using techniques mainly from linear algebra and matrix theory. Topics included are: geometric image formation, camera models, image feature extraction and tracking, camera calibration, stereo, epipolar geometry, eight-point algorithm, 3D reconstruction from two or more images, motion estimation etc. The aim is to provide graduate students in EE, CS and ME with a solid theoretical and algorithmic background for research.
SU Credits : 3
ECTS Credit : 10
Prerequisite : -
Corequisite : -