| Paper ID | 3D-3.2 | ||
| Paper Title | LEVEL SET STEREO FOR COOPERATIVE GROUPING WITH OCCLUSION | ||
| Authors | Jialiang Wang, Todd Zickler, Harvard University, United States | ||
| Session | 3D-3: Stereoscopic and multiview processing | ||
| Location | Area J | ||
| Session Time: | Wednesday, 22 September, 14:30 - 16:00 | ||
| Presentation Time: | Wednesday, 22 September, 14:30 - 16:00 | ||
| Presentation | Poster | ||
| Topic | Three-Dimensional Image and Video Processing: Stereoscopic and multiview processing and display | ||
| IEEE Xplore Open Preview | Click here to view in IEEE Xplore | ||
| Abstract | Localizing stereo boundaries is difficult because matching cues are absent in the occluded regions that are adjacent to them. We introduce an energy and level-set optimizer that improves boundaries by encoding the essential geometry of occlusions: The spatial extent of an occlusion must equal the amplitude of the disparity jump that causes it. In a collection of figure-ground scenes from Middlebury and Falling Things stereo datasets, the model provides more accurate boundaries than previous occlusion-handling techniques. | ||