Disparity calculation is crucial for binocular sensor ranging. The disparity estimation based
on edges is an important branch in the research of sparse stereo matching and plays an …

A novel local stereo matching method based on guided filtering and disparity calibration was
presented in this paper. Firstly, the three dimensional cost volume was built by computing …

Stereo matching is one of the research directions of binocular stereo vision system. In this
paper, a novel adaptive local stereo matching algorithm is proposed. Firstly, the cost function …

Stereo matching is essential and fundamental in computer vision tasks. In this paper, a novel
stereo matching algorithm based on disparity propagation using edge-aware filtering is …

In this paper, a new local matching algorithm, to estimate dense disparity map in stereo
vision, consisting of two stages is presented. At the first stage, the reduction of search space …

Human beings process stereoscopic correspondence across multiple purposes like robot
navigation, automatic driving, and virtual or augmented reality. However, this bioinspiration …

Stereo matching is a challenging problem, and high-accuracy stereo matching is still
required in various computer vision applications, eg, 3-D scanning, autonomous navigation …

In this paper, we propose a variant of Semi-Global Matching, hSGM which is a hierarchical
pyramid based dense stereo matching algorithm. Our method aggregates the matching …

This paper presents a segmentation-based stereo matching algorithm using an adaptive
multi-cost approach, which is exploited for obtaining accuracy disparity maps. The main …

Machine vision is used to reconstruct three-dimensional information from images. To
perceive depth information of target objects, many techniques in machine vision such as …