Computer Vision and Pattern Recognition
Study of computational models of visual perception and their implementation
in computer systems. Topics include: image formation; edge, corner and
boundary extraction, segmentation, matching, pattern recognition and
classification techniques; 3-D Vision: projection geometry, camera
calibration, shape from stereo / silhouette / shading, model-based 3D object
recognition; color texture, radiometry and BDRF; motion analysis.