Computer Vision

Imaging model and geometry, scene radiance and image irradiance, reluctance model of a surface, Lambertian and specular reflectance, photometric stereo. Ill-posedness of vision problems, regularization theory. Shape from shading, structured light and texture. Optical flow, passive navigation and recursive motion analysis. Stereo vision and correspondence problem. MRF approach to early vision problems (shape from shading, matching, stereo and motion), Image texture analysis. Integrated vision, sensor fusion introduction to image understanding.