{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,18]],"date-time":"2025-01-18T20:10:19Z","timestamp":1737231019758,"version":"3.33.0"},"reference-count":14,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2007,3,21]],"date-time":"2007-03-21T00:00:00Z","timestamp":1174435200000},"content-version":"vor","delay-in-days":4827,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems &amp;amp; Computers in Japan"],"published-print":{"date-parts":[[1994,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Most research in 3\u2010D object recognition has concentrated on feature extraction and paid much less attention to the computation and evaluation of matching metric for feature comparison. Many existing algorithms for object recognition have problems with noisy data and incomplete (partial) input data.<\/jats:p><jats:p>This paper proposes a similarity metric based on extensive exploitation of 3\u2010D features and characteristics of objects to solve the shortcomings of existing algorithms. Simulation and experimental results indicate that the proposed matching metric ranks the similarities among objects consistent with human intuition. It also is robust to noise and can even predict the outcome for a given noise level. Furthermore, in occlusion cases, the proposed algorithm is capable of recognizing objects using partial (incomplete) input data. It can also be used to evaluate the reliability and the contribution of a subset of the data relative to the overall object recognition task.<\/jats:p>","DOI":"10.1002\/scj.4690250705","type":"journal-article","created":{"date-parts":[[2007,7,8]],"date-time":"2007-07-08T02:58:11Z","timestamp":1183863491000},"page":"48-58","source":"Crossref","is-referenced-by-count":0,"title":["Three\u2010dimensional object recognition using spherical correlation"],"prefix":"10.1002","volume":"25","author":[{"given":"Takashi","family":"Okada","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mutsuo","family":"Sano","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hiroshi","family":"Kaneko","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2007,3,21]]},"reference":[{"key":"e_1_2_1_2_2","unstructured":"J. J.Little.Determining Object Attitude from Extended Gaussian Image. Proc. 9th\u2010IJCAI pp.960\u2013963(1985)."},{"key":"e_1_2_1_3_2","doi-asserted-by":"crossref","unstructured":"J. C.LeeandE.Milios. Matching Range Images of Human Faces. Proc. 3rd\u2010ICCV pp.722\u2013726(1990).","DOI":"10.1109\/ICCV.1990.139627"},{"key":"e_1_2_1_4_2","unstructured":"K.Ikeuchi. Recognition of 3\u2010D Objects Using the Extended Gaussian Image. Proc. 7th\u2010IJCAI pp.595\u2013600(1981)."},{"key":"e_1_2_1_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/34.42854"},{"volume-title":"Robot Vision","year":"1987","author":"Horn B. K.","key":"e_1_2_1_6_2"},{"key":"e_1_2_1_7_2","unstructured":"T.Kanade A.GrussandL. R.Carley. A VLSI Based Rangefinding System. Proc. 5th ISRR pp.1\u20138(Aug.1989)."},{"key":"e_1_2_1_8_2","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/73.1.159"},{"key":"e_1_2_1_9_2","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1111\/j.2517-6161.1982.tb01190.x","article-title":"Some Statistical Methods for Bivariate Circular Data","volume":"44","author":"Rivest L. P.","year":"1982","journal-title":"J. Royal Statistical Society"},{"volume-title":"Statistics of Directional Data","year":"1972","author":"Mardia K. V.","key":"e_1_2_1_10_2"},{"key":"e_1_2_1_11_2","unstructured":"Y.Baba.Statistics of Angular Data. Statistical Mathematic Research Records 28\u20131 (1981)."},{"issue":"3","key":"e_1_2_1_12_2","first-page":"170","article-title":"Identification of three\u2010dimensional object using Fourier discriptors of the boundary curve","volume":"7","author":"Richard C. W.","year":"1974","journal-title":"IEEE Trans. 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