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The method can recognize objects from arbitrary viewpoints and generalizes to instances that have never been observed during training, even if they are partially occluded and appear against cluttered backgrounds. Our approach builds on the implicit shape model of Leibe et al. We extend it to couple recognition to the provision of meta-data useful for a task and to the case of multiple viewpoints by integrating it with the dense multi-view correspondence finder of Ferrari et al. Meta-data can be part labels but also depth estimates, information on material types, or any other pixelwise annotation. We present experimental results on wheelchairs, cars, and motorbikes.<\/jats:p>","DOI":"10.1177\/0278364909340444","type":"journal-article","created":{"date-parts":[[2009,7,1]],"date-time":"2009-07-01T20:49:58Z","timestamp":1246481398000},"page":"976-998","source":"Crossref","is-referenced-by-count":7,"title":["Using Multi-view Recognition and Meta-data Annotation to Guide a Robot's Attention"],"prefix":"10.1177","volume":"28","author":[{"given":"Alexander","family":"Thomas","sequence":"first","affiliation":[{"name":"ESAT-PSI\/VISICS, KU Leuven, Heverlee 3001, Belgium,"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vittorio","family":"Ferrari","sequence":"additional","affiliation":[{"name":"Computer Vision Laboratory, ETH Z\u00fcrich, Z\u00fcrich 8092, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bastian","family":"Leibe","sequence":"additional","affiliation":[{"name":"UMIC Research Centre RWTH Aachen, 52056 Aachen Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tinne","family":"Tuytelaars","sequence":"additional","affiliation":[{"name":"ESAT-PSI\/VISICS, KU Leuven, Heverlee 3001, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luc","family":"Van Gool","sequence":"additional","affiliation":[{"name":"Computer Vision Laboratory, ETH Z\u00fcrich, Z\u00fcrich 8092, Switzerland, ESAT-PSI\/VISICS, KU Leuven, Heverlee 3001, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2009,7,1]]},"reference":[{"key":"atypb1","volume-title":"Proceedings of ECCV (Lecture Notes in Computer Science","author":"Bay, H."},{"key":"atypb2","volume-title":"Proceedings of NIPS","author":"Belongie, S."},{"key":"atypb3","volume-title":"Proceedings of the European Conference on Computer Vision","author":"Brostow, G."},{"key":"atypb4","volume-title":"Proceedings of CVPR","author":"Cheng, L."},{"key":"atypb5","doi-asserted-by":"publisher","DOI":"10.1109\/34.400568"},{"key":"atypb6","volume-title":"Proceedings of 3DPVT","author":"Cornelis, N."},{"key":"atypb7","volume-title":"The PASCAL Visual Object Classes Challenge 2007 (VOC2007) Results","author":"Everingham, M.","year":"2007"},{"key":"atypb8","volume-title":"The 2005 PASCAL visual object classes challenge. 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