|WSEAS Transactions on Communications
|L. Jia, Mrinal Mandal, Thomas Sikora
|Efficient Disparity Estimation using Region based Segmentation and Multistage Feedback
|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.
|Stereo Correspondence, Disparity Estimation, Progressive Processing, Local Methods