PT Unknown
AU Mikhail Mozerov
   Ariel Amato
   Xavier Roca
TI Occlusion Handling in Trinocular Stereo using Composite Disparity Space Image
BT 19th International Conference on Computer Graphics and Vision
PY 2009
BP 69–73
AB In this paper we propose a method that smartly improves occlusion handling in stereo matching using trinocular stereo. The main idea is based on the assumption that any occluded region in a matched stereo pair (middle-left images) in general is not occluded in the opposite matched pair (middle-right images). Then two disparity space images (DSI) can be merged in one composite DSI. The proposed integration differs from the known approach that uses a cumulative cost. A dense disparity map is obtained with a global optimization algorithm using the proposed composite DSI. The experimental results are evaluated on the Middlebury data set, showing high performance of the proposed algorithm especially in the occluded regions. One of the top positions in the rank of the Middlebury website confirms the performance of our method to be competitive with the best stereo matching.
ER