{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T14:30:25Z","timestamp":1761661825147},"reference-count":0,"publisher":"Cambridge University Press (CUP)","issue":"6","license":[{"start":{"date-parts":[[1999,11,1]],"date-time":"1999-11-01T00:00:00Z","timestamp":941414400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Robotica"],"published-print":{"date-parts":[[1999,11]]},"abstract":"<jats:p>A method of data segmentation, based upon robust least K-th order statistical model fitting (LKS), is proposed and applied to image motion and range data segmentation. The \nestimation method differs from other approaches using versions of LKS in a number of important ways. Firstly, the value of K is not determined by a complex optimization routine. Secondly, having chosen a fit, the estimation of scale of the noise is not based upon the K-th order statistic of the residuals. Other aspects of the full segmentation scheme include \nthe use of segment contiguity to: (a) reduce the number of random sample fits used in the LKS stage, and (b) to \u201cfill-in\u201d holes caused by isolated miss-classified data.<\/jats:p>","DOI":"10.1017\/s0263574799001812","type":"journal-article","created":{"date-parts":[[2002,7,27]],"date-time":"2002-07-27T13:39:16Z","timestamp":1027777156000},"page":"649-660","source":"Crossref","is-referenced-by-count":71,"title":["Robust segmentation of visual data using ranked unbiased scale estimate"],"prefix":"10.1017","volume":"17","author":[{"given":"Alireza","family":"Bab-Hadiashar","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"Suter","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"56","published-online":{"date-parts":[[1999,11,1]]},"container-title":["Robotica"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cambridge.org\/core\/services\/aop-cambridge-core\/content\/view\/S0263574799001812","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,2]],"date-time":"2019-09-02T16:24:01Z","timestamp":1567441441000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cambridge.org\/core\/product\/identifier\/S0263574799001812\/type\/journal_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1999,11]]},"references-count":0,"journal-issue":{"issue":"6","published-print":{"date-parts":[[1999,11]]}},"alternative-id":["S0263574799001812"],"URL":"https:\/\/doi.org\/10.1017\/s0263574799001812","relation":{},"ISSN":["0263-5747","1469-8668"],"issn-type":[{"value":"0263-5747","type":"print"},{"value":"1469-8668","type":"electronic"}],"subject":[],"published":{"date-parts":[[1999,11]]}}}