An Area-Based Stereo Matching Using Adaptive Search Range and Window Size

Abstract

In area-based stereo matching algorithm, the proper determination of search range and window size are two important factors to improve the overall performance of the algorithm. In this paper we present a novel technique for area-based stereo matching algorithm which provides more accurate and error-prone matching capabilities by using adaptive search range and window size. We propose two new strategies (1) for determining search range adaptively from the disparity map and multiresolutional images of region segments obtained by applying feature-based algorithm, and (2) for changing the window size adaptively according to the edge information derived from the wavelet transform such that the combination of two adaptive methods in search range and window size greatly enhances accuracy while reducing errors. We test our matching algorithms for various types of images, and shall show the outperformance of our stereo matching algorithm.KeywordsVisualizationStereo VisionImage Processing