Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
536349 | Pattern Recognition Letters | 2005 | 11 Pages |
Abstract
The purpose of this work is to develop a stereo matching algorithm that produces a dense disparity map for a real time vision system. Generally, correlation-based correspondence algorithms produce systematic errors at depth discontinuities, including half occluded areas, and require significant computational power. To solve these problems, we identify the properties of these areas containing matching errors and carry out an error compensation process with an effective implementation.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Sukjune Yoon, Sung-Kee Park, Sungchul Kang, Yoon Keun Kwak,