乐胖代购免代理版

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From these sensors, we derive global viewpoint invariant shape features and robust color features making use of color normalization techniques.<\/jats:p>We show that in such a set-up, our system can achieve high performance already with a very low number of training samples, which is crucial for user acceptance and that the use of multiple views is crucial for performance. This indicates that our approach can be used in controlled but realistic industrial contexts that require\u2014besides high reliability\u2014fast processing and an intuitive and easy use at the end-user side.<\/jats:p>","DOI":"10.1017\/s0263574715000430","type":"journal-article","created":{"date-parts":[[2015,6,23]],"date-time":"2015-06-23T04:48:21Z","timestamp":1435034901000},"page":"271-292","source":"Crossref","is-referenced-by-count":6,"title":["Multi-view object instance recognition in an industrial context"],"prefix":"10.1017","volume":"35","author":[{"ORCID":"http:\/\/orcid.org\/0000-0003-4315-2293","authenticated-orcid":false,"given":"Wail","family":"Mustafa","sequence":"first","affiliation":[]},{"given":"Nicolas","family":"Pugeault","sequence":"additional","affiliation":[]},{"given":"Anders G.","family":"Buch","sequence":"additional","affiliation":[]},{"given":"Norbert","family":"Kr\u00fcger","sequence":"additional","affiliation":[]}],"member":"56","published-online":{"date-parts":[[2015,6,23]]},"reference":[{"key":"S0263574715000430_ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.154"},{"key":"S0263574715000430_ref32","doi-asserted-by":"publisher","DOI":"10.1007\/BF00058655"},{"key":"S0263574715000430_ref31","doi-asserted-by":"crossref","unstructured":"J. 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