Lecture
This lecture covers topics related to stereo vision, including rectification, occlusions, window size impact on precision and noise, scale-space concepts, fronto-parallel assumption, multi-view stereo, dynamic shape reconstruction, scene flow, refining using shape from shading, precision vs baseline trade-off, multi-camera configurations, PCA face model, graph-based segmentation, graph cut for stereo, energy minimization, a-expansion algorithm, and strengths and limitations of stereo vision methods.