Depth and Disparity Extraction Structure for Multi View Images-Video Frame- A Review
Kapil S. Raviya, Ashish M. Kothari, Dwivedi Ved Vyas · 2014
the stereo matching algorithms for binocular vision are very popular and widely used. Still, the algorithms may have lower matching quality or higher time complexity. Matching can be viewed as a process of finding the degree of correlation between two groups of data. This area belongs to the one of the most explored topics in stereo vision. The depth value can be found by the disparity estimation by taking advantage of the similarity in these two views, which can be captured at the same time in a depth generation algorithm. It is not easy to find the accurate depth value if there is high similarity in color spaces around the area. Stereo matching is a fundamental problem in computer vision that estimates depth of a 3D scene with a pair of images. This paper presents the fundamental steps for finding depth extraction and related terms.