{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,2]],"date-time":"2022-04-02T02:31:30Z","timestamp":1648866690058},"reference-count":13,"publisher":"World Scientific Pub Co Pte Lt","issue":"07","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2005,11]]},"abstract":" This paper presents a combined model-based 3D object recognition method motivated by the robust properties of human vision. The human visual system (HVS) is very efficient and robust in identifying and grabbing objects, in part because of its properties of visual attention, contrast mechanism, feature binding, multiresolution and part-based representation. In addition, the HVS combines bottom-up and top-down information effectively using combined model representation. We propose a method for integrating these aspects under a Monte Carlo method. In this scheme, object recognition is regarded as a parameter optimization problem. The bottom-up process initializes parameters, and the top-down process optimizes them. Experimental results show that the proposed recognition model is feasible for 3D object identification and pose estimation. <\/jats:p>","DOI":"10.1142\/s0218001405004368","type":"journal-article","created":{"date-parts":[[2005,11,16]],"date-time":"2005-11-16T06:56:52Z","timestamp":1132124212000},"page":"839-852","source":"Crossref","is-referenced-by-count":1,"title":["COMBINED MODEL-BASED 3D OBJECT RECOGNITION"],"prefix":"10.1142","volume":"19","author":[{"given":"SUNGHO","family":"KIM","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, 373-1 Guseong-dong Yuseong-gu Daejeon, Korea"}]},{"given":"GIJEONG","family":"JANG","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, 373-1 Guseong-dong Yuseong-gu Daejeon, Korea"}]},{"given":"WANG-HEON","family":"LEE","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, 373-1 Guseong-dong Yuseong-gu Daejeon, Korea"}]},{"given":"IN SO","family":"KWEON","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, 373-1 Guseong-dong Yuseong-gu Daejeon, Korea"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.1037\/0033-295X.94.2.115"},{"key":"rf2","first-page":"679","volume":"8","author":"Canny J.","journal-title":"IEEE Trans. Patt. Anal. Mach. Intell."},{"key":"rf3","doi-asserted-by":"publisher","DOI":"10.1007\/1-4020-2081-3_4"},{"key":"rf4","doi-asserted-by":"publisher","DOI":"10.1037\/0033-295X.112.1.243"},{"key":"rf6","doi-asserted-by":"publisher","DOI":"10.1016\/S0042-6989(01)00062-1"},{"key":"rf7","volume-title":"Reversible Jump Markov Chain Monte Carlo Computation and Bayesian Model Determination","author":"Green P.","year":"1996"},{"key":"rf11","doi-asserted-by":"publisher","DOI":"10.1117\/12.976622"},{"key":"rf12","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"rf15","doi-asserted-by":"publisher","DOI":"10.1038\/35011531"},{"key":"rf16","doi-asserted-by":"publisher","DOI":"10.1016\/S0042-6989(01)00250-4"},{"key":"rf19","doi-asserted-by":"publisher","DOI":"10.1023\/A:1008973215925"},{"key":"rf20","doi-asserted-by":"publisher","DOI":"10.1098\/rstb.1998.0284"},{"key":"rf21","doi-asserted-by":"publisher","DOI":"10.1016\/j.jphysparis.2003.09.010"}],"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218001405004368","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T12:41:42Z","timestamp":1565181702000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218001405004368"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005,11]]},"references-count":13,"journal-issue":{"issue":"07","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[2005,11]]}},"alternative-id":["10.1142\/S0218001405004368"],"URL":"https:\/\/doi.org\/10.1142\/s0218001405004368","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"value":"0218-0014","type":"print"},{"value":"1793-6381","type":"electronic"}],"subject":[],"published":{"date-parts":[[2005,11]]}}}