Stereo Matching Based on Efficient Image-Guided Cost Aggregation

Abstract

SUMMARYCost aggregation is one of the most important steps in local stereo matching, while it is difficult to fulfill both accuracy and speed. In this letter, a novel cost aggregation, consisting of guidance image, fast aggregation function and simplified scan-line optimization, is developed. Experiments demonstrate that the proposed algorithm has competitive performance compared with the state-of-art aggregation methods on 32 Middlebury stereo datasets in both accuracy and speed.

Virtual Viewpoint Film and Television Synthesis Based on the Intelligent Algorithm of Wireless Network Communication for Image Repair

“…Zhan et al have developed a novel cost aggregation, including guided images, fast aggregation functions, and simplified scan line optimization. Experiments show that compared with the latest aggregation method on 32 Middlebury stereo data sets, the proposed algorithm is competitive in terms of accuracy and speed [11]. Tung and Gündüz introduced a hybrid digital-analog wireless image transmission scheme called SparseCast, which provides an elegant degradation of channel quality.…”