{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,3]],"date-time":"2022-04-03T13:07:36Z","timestamp":1648991256766},"reference-count":0,"publisher":"Walter de Gruyter GmbH","issue":"1","license":[{"start":{"date-parts":[[2015,12,28]],"date-time":"2015-12-28T00:00:00Z","timestamp":1451260800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/3.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,12,28]]},"abstract":"<jats:title>Abstract<\/jats:title>\n\t\t\t\t<jats:p>This paper describes a method for the detection\nof textureless objects. Our target objects include furniture\nand home appliances, which have no rich textural\nfeatures or characteristic shapes. Focusing on the ease of\napplication, we define a model that represents objects in\nterms of three-dimensional edgels and surfaces. Object detection\nis performed by superimposing input data on the\nmodel. A two-stage algorithm is applied to bring out object\nposes. Surfaces are used to extract candidates fromthe\ninput data, and edgels are then used to identify the pose\nof a target object using two-dimensional template matching.\nExperiments using four real furniture and home appliances\nwere performed to show the feasibility of the proposed\nmethod.We suggest the possible applicability in occlusion\nand clutter conditions.<\/jats:p>","DOI":"10.1515\/pjbr-2015-0012","type":"journal-article","created":{"date-parts":[[2019,1,29]],"date-time":"2019-01-29T16:40:18Z","timestamp":1548780018000},"source":"Crossref","is-referenced-by-count":1,"title":["Feasibility Study of Textureless Object Detection and Pose Estimation Based on a Model with 3D Edgels and Surfaces"],"prefix":"10.1515","volume":"6","author":[{"given":"Kimitoshi","family":"Yamazaki","sequence":"first","affiliation":[]},{"given":"Kiyohiro","family":"Sogen","sequence":"additional","affiliation":[]},{"given":"Takashi","family":"Yamamoto","sequence":"additional","affiliation":[]},{"given":"Masayuki","family":"Inaba","sequence":"additional","affiliation":[]}],"member":"374","container-title":["Paladyn, Journal of Behavioral Robotics"],"original-title":[],"link":[{"URL":"http:\/\/www.degruyter.com\/view\/j\/pjbr.2015.6.issue-1\/pjbr-2015-0012\/pjbr-2015-0012.xml","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/pjbr-2015-0012\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,22]],"date-time":"2021-04-22T04:00:25Z","timestamp":1619064025000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/pjbr-2015-0012\/html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,12,28]]},"references-count":0,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1515\/pjbr-2015-0012","relation":{},"ISSN":["2081-4836"],"issn-type":[{"value":"2081-4836","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,12,28]]}}}