Efficient disparity estimation using region based segmentation and multistage feedback

Authors:
Leslie Jia;Mrinal Mandal;Thomas Sikora
Affiliations:
Dept. of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada;Dept. of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada;Institut für Telekommunikations Systeme, Technische Universität Berlin, Berlin, Germany
Venue:
ICCOM'06 Proceedings of the 10th WSEAS international conference on Communications
Year:
2006

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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.