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Different limitations of this approach are analyzed by evaluating performance with respect to the number of training images and calculation of optimal parameters in a number of applications. Furthermore, effectiveness of object duplicate detection algorithm is measured over different object classes. The authors\u2019 method is shown to be robust in detecting the same objects even when images with objects are taken from different viewpoints or distances.<\/p>","DOI":"10.4018\/jmdem.2010070102","type":"journal-article","created":{"date-parts":[[2010,9,7]],"date-time":"2010-09-07T22:54:24Z","timestamp":1283900064000},"page":"19-40","source":"Crossref","is-referenced-by-count":1,"title":["Robust Duplicate Detection of 2D and 3D Objects"],"prefix":"10.4018","volume":"1","author":[{"given":"Peter","family":"Vajda","sequence":"first","affiliation":[{"name":"Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne \u2013 EPFL, Switzerland"}]},{"given":"Ivan","family":"Ivanov","sequence":"additional","affiliation":[{"name":"Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne \u2013 EPFL, Switzerland"}]},{"given":"Lutz","family":"Goldmann","sequence":"additional","affiliation":[{"name":"Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne \u2013 EPFL, Switzerland"}]},{"given":"Jong-Seok","family":"Lee","sequence":"additional","affiliation":[{"name":"Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne \u2013 EPFL, Switzerland"}]},{"given":"Touradj","family":"Ebrahimi","sequence":"additional","affiliation":[{"name":"Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne \u2013 EPFL, Switzerland"}]}],"member":"2432","reference":[{"key":"jmdem.2010070102-0","doi-asserted-by":"publisher","DOI":"10.1016\/0031-3203(81)90009-1"},{"key":"jmdem.2010070102-1","doi-asserted-by":"crossref","unstructured":"Bay, H., Tuytelaars, T., & Gool, L. 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