Yoon, S Park, SK Kang, S Kwak, YK 2024-01-21T04:10:08Z 2024-01-21T04:10:08Z 2021-09-01 2005-10-15 0167-8655 https://pubs.kist.re.kr/handle/201004/136053 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. (c) 2005 Elsevier B.V. All rights reserved. English ELSEVIER ALGORITHM VISION Fast correlation-based stereo matching with the reduction of systematic errors Article 10.1016/j.patrec.2005.03.037 1 PATTERN RECOGNITION LETTERS, v.26, no.14, pp.2221 - 2231 PATTERN RECOGNITION LETTERS 26 14 2221 2231 scie scopus 000232527200010 Computer Science, Artificial Intelligence Computer Science Article ALGORITHM VISION stereo vision dense disparity map real time stereo reduction of errors