{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T23:47:58Z","timestamp":1648856878085},"reference-count":8,"publisher":"World Scientific Pub Co Pte Lt","issue":"04","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Image Grap."],"published-print":{"date-parts":[[2005,10]]},"abstract":"<jats:p> This paper addresses a problem, due to human wearing clothes, in an appearance-based eigenspace technique called a dress effect in case of recognizing human postures. The dress effect in the eigenspace arises when a man\/woman wears different texture-dress between training and testing stages. This study investigates that change of dresses creates the cloth's oriented eigenspace and it affects the robustness of an eigenspace technique. The dress effect is investigated in this paper employing various dress environments and image pre-processing by Sobel-edge filter is proposed in this paper for overcoming this problem. The application of Sobel-edge images over training and testing images creates an almost similar eigenspace of different models\/persons, even changing the clothes. Promising obtained results are shown in terms of a numerical analysis, with a graphical representation of various eigenspaces and recognition rates in the performed experiments. <\/jats:p>","DOI":"10.1142\/s021946780500204x","type":"journal-article","created":{"date-parts":[[2005,11,22]],"date-time":"2005-11-22T08:48:37Z","timestamp":1132649317000},"page":"811-823","source":"Crossref","is-referenced-by-count":0,"title":["OVERCOMING DRESS EFFECT IN EIGENSPACE"],"prefix":"10.1142","volume":"05","author":[{"given":"M. MASUDUR","family":"RAHMAN","sequence":"first","affiliation":[{"name":"Department of Control Engineering, Kyushu Institute of Technology, Sensuicho 1-1, Tobata, Kitakyushu 804-8550, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"SEIJI","family":"ISHIKAWA","sequence":"additional","affiliation":[{"name":"Department of Control Engineering, Kyushu Institute of Technology, Sensuicho 1-1, Tobata, Kitakyushu 804-8550, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,20]]},"reference":[{"key":"rf3","doi-asserted-by":"publisher","DOI":"10.1016\/S0262-8856(99)00075-X"},{"key":"rf4","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007939232436"},{"key":"rf6","volume-title":"Digital Image Processing","author":"Gonzalez R. C.","year":"1986"},{"key":"rf7","first-page":"169","volume":"119","author":"Kim J. W.","journal-title":"Trans. of IEE Japan"},{"key":"rf8","doi-asserted-by":"publisher","DOI":"10.1006\/cviu.1999.0830"},{"key":"rf9","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(99)00179-X"},{"key":"rf10","first-page":"39","volume":"14","author":"Murase H.","journal-title":"Int. J. Computer Vision"},{"key":"rf15","first-page":"1043","volume":"9","author":"Ohba K.","journal-title":"IEEE Transaction on Pattern Analysis Machine Intelligence"}],"container-title":["International Journal of Image and Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S021946780500204X","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T23:12:29Z","timestamp":1565133149000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S021946780500204X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005,10]]},"references-count":8,"journal-issue":{"issue":"04","published-online":{"date-parts":[[2011,11,20]]},"published-print":{"date-parts":[[2005,10]]}},"alternative-id":["10.1142\/S021946780500204X"],"URL":"https:\/\/doi.org\/10.1142\/s021946780500204x","relation":{},"ISSN":["0219-4678","1793-6756"],"issn-type":[{"value":"0219-4678","type":"print"},{"value":"1793-6756","type":"electronic"}],"subject":[],"published":{"date-parts":[[2005,10]]}}}