The syllabus is tentative and subject to change

Image Filtering (2 weeks)

• filtering, convolution
• edge detection
• feature detection (corners, lines)
• hough transform
• image pyramids

Image Transformation (2 weeks)

• image warping (parametric transformations, resampling, morphing algorithms, texture mapping)
• image compositing (alpha blending, color mosaics)
• segmentation and matting (snakes, scissors)

Motion Estimation (2 weeks)

• optical flow
• image alignment
• image mosaics
• feature tracking

3D Modeling (3 weeks)

• projective geometry
• camera modeling
• single view metrology
• camera calibration
• stereo
• structure from motion

Object Recognition and Applications (1 week)

• eigenfaces
• applications (graphics, robotics)