This paper describes a stereo vision system that enables real-time dense depth measurements on a personal computer. The system relies on a very efficient stereo matching engine that, unlike many other approaches which use two distinct matching phases in order to detect unreliable matches, uses a single matching phase. Our matching engine allows for rejecting most unreliable matches by exploitin...

Due to a high percentage of the bad pixels in small baseline stereo matching method, a small baseline stereo matching method based on adaptive weight is proposed. Firstly, the size of reference window is adaptively calculated for each reference point and then matching costs is evaluated according to adaptive weights and reference window size. Secondly, winner take all is used to evaluate initia...

Stereo image matching is reconsidered from the viewpoint of full-information exploitation via a uniform transformation of information through scale space. We consider the general stereo situation where both interior and relative orientation of two images are unknown. It is shown that wavelet multiresolution analysis provides an adequate transformation and representation of image signal informat...

The traditional dynamic programming stereo matching algorithms usually adopt the disparity assumption based on the intensity change of images; With the development of stereo matching technique, the disparity assumption based on image color segmentation is proved to meet better the need of true scenes. The paper introduces the disparity assumption into the stereo matching using dynamic programmi...

In this study, the authors present a new area-based stereo matching algorithm that computes dense disparity maps for a real-time vision system. Although many stereo matching algorithms have been proposed in recent years, correlation-based algorithms still have an edge because of speed and less memory requirements. The selection of appropriate shape and size of the matching window is a difficult...

This paper presents a whole body surface imaging system based on stereo vision technology. We have adopted a compact and economical configuration which involves only four stereo units to image the frontal and rear sides of the body. The success of the system depends on a stereo matching process that can effectively segment the body from the background in addition to recovering sufficient geomet...

Often, stereo matching is treated as two quite independent subprocesses: segmentation, followed by matching. In this paper, we treat these processes as naturally related, with partial matching results feeding back into the segmentation and both proceeding simultaneously in a cooperative fashion. We consider regions as the primitives to be matched, and our implementation is based upon maintainin...

Aiming at the trade-off between accuracy and efficiency in current local stereo matching, a fast stereo matching method based on adaptive window is proposed. The census transform combined with absolute differences (AD) is used for matching cost initialization. Then an iterative cost aggregation based on exponential step adaptive weight (ESAW) is adopted to improve the parallelism and execution ...

A novel hierarchical stereo matching algorithm is presented which gives disparity map as output from illumination variant stereo pair. Illumination difference between two stereo images can lead to undesirable output. Stereo image pair often experience illumination variations due to many factors like real and practical situation, spatially and temporally separated camera positions, environmental...