| Conference/Proceedings | 10th WSEAS International Conference on Communications |
| Start date | 10.07.2006 |
| End date | 15.07.2006 |
| Pages | 582-589 |
| Author(s) | Leslie Jia, Mrinal Mandal, Thomas Sikora |
| Title | Efficient Disparity Estimation Using Region based Segmentation and Multistage Feedback |
| Invited? | Yes |
| Abstract | Stereoscopic analysis is widely used in machine vision applications. Local and global methods are two main branches of stereoscopic analysis. The global methods typically minimize a cost function over the entire scene. Although these methods provide high estimation accuracy, because of its high complexity, they are not suitable for real-time implementation. The local methods typically use window-correlation approaches, and the associated complexity is generally low. However, the estimation accuracy is sensitive to the selected window size. In this paper, we propose a multistage local method that operates on image segments instead of traditional rectangular windows. This new approach exploits the unique characteristics of image segments, and reduces occlusion through a feedback system. Experimental results show that it is very effective for natural images. In addition, it has a low computational complexity which may be suitable for real-time implementation. |
| Key words | Stereo Correspondence, Disparity Estimation, Progressive Processing, Local Methods |
| File | 1017Jia2006.pdf |