| Paper: | IMDSP-P1.8 | ||
| Session: | Motion/Disparity Detection and Estimation | ||
| Time: | Tuesday, May 16, 10:30 - 12:30 | ||
| Presentation: | Poster | ||
| Topic: | Image and Multidimensional Signal Processing: Stereoscopic and 3-D Processing | ||
| Title: | DYNAMIC PROGRAMMING FOR MULTI-VIEW DISPARITY/DEPTH ESTIMATION | ||
| Authors: | Nantheera Anantrasirichai, Nishan Canagarajah, David Redmill, David Bull, University of Bristol, United Kingdom | ||
| Abstract: | A novel algorithm for disparity/depth estimation from multi-view images is presented. A dynamic programming approach with window-based correlation and a novel cost function is proposed.. The smoothness of disparity/depth map is embedded in dynamic programming approach, whilst the window-based correlation increases reliability. The enhancement methods are included, i.e. adaptive window size and shiftable window are used to increase reliability in homogenous areas and to increase sharpness at object boundaries. First, the algorithms estimates depth maps along a single camera axis. The algorithsm exploits then combines the depth estimates from different axis to derive a suitable depth map for multi-view images. The proposed scheme outperforms existing approaches in parallel and in the non-parallel camera configurations. | ||
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