{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T23:22:43Z","timestamp":1725664963520},"publisher-location":"Berlin, Heidelberg","reference-count":8,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540615101"},{"type":"electronic","value":"9783540686842"}],"license":[{"start":{"date-parts":[[1996,1,1]],"date-time":"1996-01-01T00:00:00Z","timestamp":820454400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[1996]]},"DOI":"10.1007\/3-540-61510-5_124","type":"book-chapter","created":{"date-parts":[[2012,2,26]],"date-time":"2012-02-26T21:46:05Z","timestamp":1330292765000},"page":"735-740","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Geometrically constrained optical flow estimation by an Hopfield neural network"],"prefix":"10.1007","author":[{"given":"A.","family":"Branca","sequence":"first","affiliation":[]},{"given":"G.","family":"Convertino","sequence":"additional","affiliation":[]},{"given":"E.","family":"Stella","sequence":"additional","affiliation":[]},{"given":"A.","family":"Distante","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2005,6,9]]},"reference":[{"key":"124_CR1","doi-asserted-by":"crossref","unstructured":"A.Branca, G.Convertino, A.Distante, Hopfield Neural Network for Correspondence Problems in Dynamic Image Analysis, ICANN95 International Conference on Artificial Neural Networks, 1995","DOI":"10.1109\/ICNN.1994.374824"},{"issue":"No1","key":"124_CR2","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1007\/BF01420984","volume":"12","author":"J.L. Barron","year":"1994","unstructured":"J.L. Barron, D.J. Fleet, and S.S. Beauchemin, Performance of Optical Flow Techniques, Intern. Journal of Computer Vision, Vol. 12, No 1, 43\u201379, 1994.","journal-title":"Intern. Journal of Computer Vision"},{"key":"124_CR3","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1016\/0262-8856(90)80002-B","volume":"8","author":"R. Deriche","year":"1990","unstructured":"R. Deriche and O. Faugeras, Tracking Line Segments, Image Vision Comput, Vol. 8, 261\u2013271, 1990.","journal-title":"Image Vision Comput"},{"issue":"No.3","key":"124_CR4","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1007\/BF01469344","volume":"11","author":"H. S. Sawhney","year":"1993","unstructured":"H. S. Sawhney and A. R. Hanson, Trackability as a Cue for Potential Obstacle Identification and 3D Description, Intern. Journal of Computer Vision, Vol. 11, No. 3, 237\u2013263, 1993.","journal-title":"Intern. Journal of Computer Vision"},{"key":"124_CR5","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1007\/BF00339943","volume":"52","author":"J. J. Hopfield","year":"1985","unstructured":"J. J. Hopfield, Neural computation of decision in optimization problem, Biol. Cyber., Vol. 52, pp. 141\u2013152, 1985.","journal-title":"Biol. Cyber."},{"issue":"No.7","key":"124_CR6","doi-asserted-by":"crossref","first-page":"872","DOI":"10.1109\/PROC.1983.12684","volume":"71","author":"H. Moravec","year":"1983","unstructured":"H.Moravec, The Stanford Cart and the CMU Rover, Proc. IEEE, Vol.71, No. 7,pp. 872\u2013878, 1983.","journal-title":"Proc. IEEE"},{"issue":"No.1","key":"124_CR7","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1109\/72.105413","volume":"3","author":"N. M. Nasrabadi","year":"1992","unstructured":"N. M. Nasrabadi, C.Y. Choo, Hopfield Network for Stereo Vision Correspondence, IEEE Trans. Neural Networks, Vol. 3, No. 1, pp. 5\u201313, 1992.","journal-title":"IEEE Trans. Neural Networks"},{"issue":"No.1","key":"124_CR8","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1007\/BF01450850","volume":"15","author":"T. Wu","year":"1995","unstructured":"T. Wu, R. Chellappa, Q. Zheng, Experiments on Estimating Egomotion and Structure Parameters Using Long Monocular Image Sequence, Intern. Journal of Computer Vision, Vol. 15, No. 1, 77\u2013103, 1995.","journal-title":"Intern. Journal of Computer Vision"}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks \u2014 ICANN 96"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-61510-5_124","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,20]],"date-time":"2023-06-20T19:12:05Z","timestamp":1687288325000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-61510-5_124"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1996]]},"ISBN":["9783540615101","9783540686842"],"references-count":8,"URL":"https:\/\/doi.org\/10.1007\/3-540-61510-5_124","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[1996]]},"assertion":[{"value":"9 June 2005","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}