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The dataset presented herein facilitates work on hard and soft biometric human identification and identity verification. It is comprised of full-body images of multiple fully clothed males from a constrained age range. The images have been taken from multiple perspectives with varied lighting brightness and temperature.<\/jats:p>","DOI":"10.3390\/data4010003","type":"journal-article","created":{"date-parts":[[2018,12,24]],"date-time":"2018-12-24T10:37:49Z","timestamp":1545647869000},"page":"3","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Human Male Body Images from Multiple Perspectives with Multiple Lighting Settings"],"prefix":"10.3390","volume":"4","author":[{"given":"William","family":"Clemons","sequence":"first","affiliation":[{"name":"Department of Computer Science, California State University, Fullerton, CA 92831, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9821-2858","authenticated-orcid":false,"given":"Jeremy","family":"Straub","sequence":"additional","affiliation":[{"name":"Department of Computer Science, North Dakota State University, Fargo, ND 58102, USA"}]}],"member":"1968","published-online":{"date-parts":[[2018,12,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1016\/S0031-3203(02)00052-3","article-title":"Automatic facial expression analysis: A survey","volume":"36","author":"Fasel","year":"2003","journal-title":"Pattern Recognit."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/0031-3203(92)90007-6","article-title":"Automatic recognition and analysis of human faces and facial expressions: A survey","volume":"25","author":"Samal","year":"1992","journal-title":"Pattern Recognit."},{"key":"ref_3","unstructured":"Vasilescu, M.A.O., and Terzopoulos, D. 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Proceedings of the Fifth IEEE International Conference on Automatic Face Gesture Recognition, Washington, DC, USA."},{"key":"ref_14","unstructured":"Kale, A., Roychowdhury, A.K., and Chellappa, R. (2004, January 17\u201321). Fusion of gait and face for human identification. Proceedings of the 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, Montreal, QC, Canada."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"778","DOI":"10.1016\/j.patcog.2007.06.019","article-title":"Feature fusion of side face and gait for video-based human identification","volume":"41","author":"Zhou","year":"2008","journal-title":"Pattern Recognit."},{"key":"ref_16","unstructured":"Shakhnarovich, G., and Darrell, T. (2002, January 20\u201321). On probabilistic combination of face and gait cues for identification. Proceedings of the Fifth IEEE International Conference on Automatic Face Gesture Recognition, Washinton DC, USA."},{"key":"ref_17","unstructured":"Shakhnarovich, G., Lee, L., and Darrell, T. (2001, January 8\u201314). Integrated face and gait recognition from multiple views. Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, Kauai, HI, USA."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"575","DOI":"10.3758\/BF03198740","article-title":"Recognizing the sex of a walker from a dynamic point-light display","volume":"21","author":"Kozlowski","year":"1977","journal-title":"Percept. Psychophys."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Makihara, Y., Mannami, H., and Yagi, Y. (2011). Gait Analysis of Gender and Age Using a Large-Scale Multi-view Gait Database. Asian Conference on Computer Vision, Springer.","DOI":"10.1007\/978-3-642-19309-5_34"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Zhang, D., and Wang, Y. (2009). Gender Recognition Based on Fusion of Face and Multi-view Gait. International Conference on Biometrics, Springer.","DOI":"10.1007\/978-3-642-01793-3_102"}],"container-title":["Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2306-5729\/4\/1\/3\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:35:46Z","timestamp":1760196946000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2306-5729\/4\/1\/3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12,23]]},"references-count":20,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2019,3]]}},"alternative-id":["data4010003"],"URL":"https:\/\/doi.org\/10.3390\/data4010003","relation":{},"ISSN":["2306-5729"],"issn-type":[{"type":"electronic","value":"2306-5729"}],"subject":[],"published":{"date-parts":[[2018,12,23]]}}}