{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,31]],"date-time":"2022-03-31T13:17:59Z","timestamp":1648732679049},"reference-count":0,"publisher":"World Scientific Pub Co Pte Lt","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[1994,4]]},"abstract":"<jats:p> Three-dimensional (3D) shape recovery from a monocular image is the inverse process of optical projection and necessitates the use of additional constraints on 3D features of the objects. We have proposed the method of shape recovery based on some hypothetical constraints and its realization by energy minimization using a parallel network. In this paper, we will discuss an extension of our proposal with the aim of correcting noise and errors in an input image through the process of shape recovery. It is hardly possible to extract edges and vertexes free from noise and errors from a real image. For the robustness of the system, we must provide our system with the ability to correct such noise and errors. In this extension, we can also modulate the inclination of the process toward model-driven or data-driven. <\/jats:p>","DOI":"10.1142\/s0218001494000309","type":"journal-article","created":{"date-parts":[[2004,11,19]],"date-time":"2004-11-19T02:21:13Z","timestamp":1100830873000},"page":"577-593","source":"Crossref","is-referenced-by-count":0,"title":["SHAPE RECOVERY AND ERROR CORRECTION BASED ON HYPOTHETICAL CONSTRAINTS BY PARALLEL NETWORK FOR ENERGY MINIMIZATION"],"prefix":"10.1142","volume":"08","author":[{"given":"KOH","family":"KAKUSHO","sequence":"first","affiliation":[{"name":"The Institute of Scientific and Industrial Research, Osaka University, Ibaraki, Osaka 567, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"SEIICHIRO","family":"DAN","sequence":"additional","affiliation":[{"name":"The Institute of Scientific and Industrial Research, Osaka University, Ibaraki, Osaka 567, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"NORIHIRO","family":"ABE","sequence":"additional","affiliation":[{"name":"Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology, Iizuka, Fukuoka 820, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"TADAHIRO","family":"KITAHASHI","sequence":"additional","affiliation":[{"name":"The Institute of Scientific and Industrial Research, Osaka University Ibaraki, Osaka 567, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218001494000309","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T02:13:00Z","timestamp":1565143980000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218001494000309"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1994,4]]},"references-count":0,"journal-issue":{"issue":"02","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[1994,4]]}},"alternative-id":["10.1142\/S0218001494000309"],"URL":"https:\/\/doi.org\/10.1142\/s0218001494000309","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"value":"0218-0014","type":"print"},{"value":"1793-6381","type":"electronic"}],"subject":[],"published":{"date-parts":[[1994,4]]}}}