{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T17:56:43Z","timestamp":1772906203319,"version":"3.50.1"},"reference-count":40,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2022,4,26]],"date-time":"2022-04-26T00:00:00Z","timestamp":1650931200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Korea Government (Ministry of Science and ICT, MSIT)","award":["NRF-2020R1A2C3011697"],"award-info":[{"award-number":["NRF-2020R1A2C3011697"]}]},{"name":"Korea Government (Ministry of Science and ICT, MSIT)","award":["2021-22-0001"],"award-info":[{"award-number":["2021-22-0001"]}]},{"name":"Korea Government (Ministry of Science and ICT, MSIT)","award":["1-2203-2002"],"award-info":[{"award-number":["1-2203-2002"]}]},{"name":"Yonsei University Research Fund of 2021","award":["NRF-2020R1A2C3011697"],"award-info":[{"award-number":["NRF-2020R1A2C3011697"]}]},{"name":"Yonsei University Research Fund of 2021","award":["2021-22-0001"],"award-info":[{"award-number":["2021-22-0001"]}]},{"name":"Yonsei University Research Fund of 2021","award":["1-2203-2002"],"award-info":[{"award-number":["1-2203-2002"]}]},{"name":"Sookmyung Women\u2019s University Research Grants","award":["NRF-2020R1A2C3011697"],"award-info":[{"award-number":["NRF-2020R1A2C3011697"]}]},{"name":"Sookmyung Women\u2019s University Research Grants","award":["2021-22-0001"],"award-info":[{"award-number":["2021-22-0001"]}]},{"name":"Sookmyung Women\u2019s University Research Grants","award":["1-2203-2002"],"award-info":[{"award-number":["1-2203-2002"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The relationship between the disparity and depth information of corresponding pixels is inversely proportional. Thus, in order to accurately estimate depth from stereo vision, it is important to obtain accurate disparity maps, which encode the difference between horizontal coordinates of corresponding image points. Stereo vision can be classified as either passive or active. Active stereo vision generates pattern texture, which passive stereo vision does not have, on the image to fill the textureless regions. In passive stereo vision, many surveys have discovered that disparity accuracy is heavily reliant on attributes, such as radiometric variation and color variation, and have found the best-performing conditions. However, in active stereo matching, the accuracy of the disparity map is influenced not only by those affecting the passive stereo technique, but also by the attributes of the generated pattern textures. Therefore, in this paper, we analyze and evaluate the relationship between the performance of the active stereo technique and the attributes of pattern texture. When evaluating, experiments are conducted under various settings, such as changing the pattern intensity, pattern contrast, number of pattern dots, and global gain, that may affect the overall performance of the active stereo matching technique. Through this evaluation, our discovery can act as a noteworthy reference for constructing an active stereo system.<\/jats:p>","DOI":"10.3390\/s22093332","type":"journal-article","created":{"date-parts":[[2022,4,26]],"date-time":"2022-04-26T21:37:53Z","timestamp":1651009073000},"page":"3332","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["A Comparison and Evaluation of Stereo Matching on Active Stereo Images"],"prefix":"10.3390","volume":"22","author":[{"given":"Mingyu","family":"Jang","sequence":"first","affiliation":[{"name":"Department of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hyunse","family":"Yoon","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1564-5077","authenticated-orcid":false,"given":"Seongmin","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7622-0817","authenticated-orcid":false,"given":"Jiwoo","family":"Kang","sequence":"additional","affiliation":[{"name":"Department of IT Engineering, Sookmyung Women\u2019s University, Seoul 04310, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9895-5347","authenticated-orcid":false,"given":"Sanghoon","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Korea"},{"name":"Department of Radiology, College of Medicine, Yonsei University, Seoul 03722, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,4,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Kang, J., Lee, S., Jang, M., and Lee, S. 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