Talks and Poster Presentations (without Proceedings-Entry):
M. Bleyer, M. Gelautz:
"A layered stereo algorithm using image segmentation and global visibility constraints";
Talk: IEEE International Conference on Image Processing,
We propose a new stereo algorithm which uses colour segmentation to allow the handling of large untextured regions and precise localization of depth boundaries. Each segment is modelled as a plane. Robustness of the depth representation is achieved by the use of a layered model. Layers are extracted by mean-shift-based clustering of depth planes. For layer assignment a global cost function is defined. The quality of the disparity map is measured by warping the reference image to the second view and comparing it with the real image. Z-buffering enforces visibility and allows the explicit detection of occlusions. An efficient greedy algorithm searches for a local minimum of the cost function. Layer extraction and assignment are alternately applied. Results obtained for benchmark and self-recorded images indicate that the proposed algorithm can compete with the state-of-the-art.
Electronic version of the publication:
Created from the Publication Database of the Vienna University of Technology.