@INPROCEEDINGS{1017Jia2006,
	AUTHOR = {Leslie Jia and Mrinal Mandal and Thomas Sikora},
	TITLE = {Efficient Disparity Estimation Using Region based Segmentation and Multistage Feedback},
	BOOKTITLE = {10th WSEAS International Conference on Communications},
	YEAR = {2006},
	MONTH = jul,
	PAGES = {582--589},
	NOTE = {invited paper},
	PDF = {http://elvera.nue.tu-berlin.de/files/1017Jia2006.pdf},
	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.}
}