{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T02:27:14Z","timestamp":1747189634596,"version":"3.40.5"},"reference-count":24,"publisher":"World Scientific Pub Co Pte Ltd","issue":"06","funder":[{"name":"the National Defense Science and Technology Innovation Zone","award":["ZT001007104"],"award-info":[{"award-number":["ZT001007104"]}]},{"name":"Natural Science Foundation of Shaanxi Provincial Department of Education Research on Pedestrian Re-identification Technology Based on Deep Feature Extraction and Metric Learning","award":["18JK0383"],"award-info":[{"award-number":["18JK0383"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2021,5]]},"abstract":"<jats:p> Pupil parameters are the essential foundation for many applications, such as cognitive science and human\u2013machine interaction. Existing approaches are still affected by various challenges. We propose a novel pupil detection pipeline (known as Edge Points Selector \u201cEPS\u201d) which is suitable even for partial occlusion, lighting, and specular reflection. EPS consists of pupil area detection, edge selection, and ellipse fitting. For the first time, we find the suitable Haar-like feature of 2D-pupil and a new pupil edge feature in the local pupil area, and integrate them into the proposed pipeline. EPS was compared with two state-of-art methods on 130[Formula: see text]856 images in this work. Within an error threshold of 5 pixels, our method outperforms the comparison algorithms by 33.8% and 19.4%, respectively, on overage. <\/jats:p>","DOI":"10.1142\/s0218001421560024","type":"journal-article","created":{"date-parts":[[2020,12,5]],"date-time":"2020-12-05T03:09:39Z","timestamp":1607137779000},"page":"2156002","source":"Crossref","is-referenced-by-count":2,"title":["EPS: Robust Pupil Edge Points Selection with Haar Feature and Morphological Pixel Patterns"],"prefix":"10.1142","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1489-161X","authenticated-orcid":false,"given":"Lu","family":"Shi","sequence":"first","affiliation":[{"name":"State and Provincial Joint Engineering, Lab. of Advanced Network, Monitoring and Control, Xi\u2019an Technological University, Xi\u2019an, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Changyuan","family":"Wang","sequence":"additional","affiliation":[{"name":"State and Provincial Joint Engineering, Lab. of Advanced Network, Monitoring and Control, Xi\u2019an Technological University, Xi\u2019an, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongbo","family":"Jia","sequence":"additional","affiliation":[{"name":"Air Force Medical Center of PLA, Air Force Military Medical University, PLA Beijing, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiuhua","family":"Hu","sequence":"additional","affiliation":[{"name":"State and Provincial Joint Engineering, Lab. of Advanced Network, Monitoring and Control, Xi\u2019an Technological University, Xi\u2019an, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2021,1,19]]},"reference":[{"key":"S0218001421560024BIB001","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.07.054"},{"key":"S0218001421560024BIB002","doi-asserted-by":"publisher","DOI":"10.3390\/s20133739"},{"key":"S0218001421560024BIB003","doi-asserted-by":"publisher","DOI":"10.1145\/358669.358692"},{"key":"S0218001421560024BIB004","doi-asserted-by":"publisher","DOI":"10.1109\/34.765658"},{"key":"S0218001421560024BIB005","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00541"},{"key":"S0218001421560024BIB006","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-23192-1_4"},{"key":"S0218001421560024BIB007","doi-asserted-by":"publisher","DOI":"10.3389\/fneng.2015.00004"},{"key":"S0218001421560024BIB008","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376840"},{"key":"S0218001421560024BIB009","doi-asserted-by":"publisher","DOI":"10.1145\/3206505.3206522"},{"key":"S0218001421560024BIB010","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13654"},{"key":"S0218001421560024BIB011","first-page":"79","volume-title":"2005 IEEE Computer Society Conf. Computer Vision and Pattern Recognition (CVPR\u201905) \u2014 Workshops","author":"Li D.","year":"2005"},{"key":"S0218001421560024BIB013","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-020-08907-5"},{"key":"S0218001421560024BIB014","doi-asserted-by":"publisher","DOI":"10.3758\/s13428-017-0998-z"},{"key":"S0218001421560024BIB015","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300340"},{"key":"S0218001421560024BIB016","doi-asserted-by":"publisher","DOI":"10.1109\/ICAIIT.2019.8834526"},{"key":"S0218001421560024BIB017","doi-asserted-by":"publisher","DOI":"10.2200\/S00820ED1V01Y201712AIM036"},{"key":"S0218001421560024BIB018","doi-asserted-by":"publisher","DOI":"10.1145\/2168556.2168585"},{"key":"S0218001421560024BIB019","doi-asserted-by":"publisher","DOI":"10.1145\/3372422.3372436"},{"key":"S0218001421560024BIB020","doi-asserted-by":"publisher","DOI":"10.1145\/2857491.2857520"},{"key":"S0218001421560024BIB021","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2001.990517"},{"key":"S0218001421560024BIB022","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2886012"},{"key":"S0218001421560024BIB023","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2019.05.016"},{"key":"S0218001421560024BIB025","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.12.053"},{"key":"S0218001421560024BIB026","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300646"}],"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218001421560024","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T10:11:19Z","timestamp":1622542279000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218001421560024"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,19]]},"references-count":24,"journal-issue":{"issue":"06","published-print":{"date-parts":[[2021,5]]}},"alternative-id":["10.1142\/S0218001421560024"],"URL":"https:\/\/doi.org\/10.1142\/s0218001421560024","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"type":"print","value":"0218-0014"},{"type":"electronic","value":"1793-6381"}],"subject":[],"published":{"date-parts":[[2021,1,19]]}}}