Hierarchical structural stereo matching with simultaneous autonomous camera calibration

Two key issues in computer vision are: solving the correspondence and camera calibration problems in stereo. We present a novel approach to autonomous relative camera orientation and stereo matching that uses the relationship between the correspondence problem and the camera pose estimation problem and combines these two into a single interactive algorithm embedded in a multiresolution framework. Our results show that this technique exhibits advantages in accuracy and versatility over existing methods