{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,5]],"date-time":"2022-04-05T10:41:33Z","timestamp":1649155293759},"reference-count":9,"publisher":"World Scientific Pub Co Pte Lt","issue":"04","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Inf. Acquisition"],"published-print":{"date-parts":[[2011,12]]},"abstract":"<jats:p> This paper describes a successful application of Matting Laplacian Matrix to the problem of generating high-resolution range images. The Matting Laplacian Matrix in this paper exploits the fact that discontinuities in range and coloring tend to co-align, which enables us to generate high-resolution range image by integrating regular camera image into the range data. Using one registered and potentially high-resolution camera image as reference, we iteratively refine the input low-resolution range image, in terms of both spatial resolution and depth precision. We show that by using such a Matting Laplacian Matrix, we can get high-quality high-resolution range images. <\/jats:p>","DOI":"10.1142\/s0219878911002513","type":"journal-article","created":{"date-parts":[[2012,12,20]],"date-time":"2012-12-20T06:26:46Z","timestamp":1355984806000},"page":"273-280","source":"Crossref","is-referenced-by-count":0,"title":["AN APPLICATION OF MATTING LAPLACIAN MATRIX TO RANGE IMAGE SUPER-RESOLUTION"],"prefix":"10.1142","volume":"08","author":[{"given":"YUXIANG","family":"YANG","sequence":"first","affiliation":[{"name":"Department of Automation, University of Science and Technology of China, Hefei, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"ZENGFU","family":"WANG","sequence":"additional","affiliation":[{"name":"Institute of Intelligent Machines, Chinese Academy of Sciences, Department of Automation, University of Science and Technology of China, Hefei, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2012,12,19]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(97)00074-5"},{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-4532-2_1"},{"key":"rf4","first-page":"291","volume":"18","author":"Diebel J.","year":"2006","journal-title":"Advances in Neural Information Processing Systems"},{"key":"rf6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1983.4767365"},{"key":"rf8","volume":"26","author":"Kopf J.","year":"2007","journal-title":"ACM Trans. Graph."},{"key":"rf10","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-4532-2_3"},{"key":"rf11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-69321-5_31"},{"key":"rf12","author":"Rosenbush G.","year":"2007","journal-title":"Proc. SPIE"},{"key":"rf13","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2003.10.002"}],"container-title":["International Journal of Information Acquisition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0219878911002513","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T15:33:10Z","timestamp":1565105590000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0219878911002513"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,12]]},"references-count":9,"journal-issue":{"issue":"04","published-online":{"date-parts":[[2012,12,19]]},"published-print":{"date-parts":[[2011,12]]}},"alternative-id":["10.1142\/S0219878911002513"],"URL":"https:\/\/doi.org\/10.1142\/s0219878911002513","relation":{},"ISSN":["0219-8789","1793-6985"],"issn-type":[{"value":"0219-8789","type":"print"},{"value":"1793-6985","type":"electronic"}],"subject":[],"published":{"date-parts":[[2011,12]]}}}