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Relevance Feedback in Content-based 3D Object Retrieval A Comparative Study

Abstract : In this paper, we present a comparative study that concerns relevance feedback (RF) algorithms in the context of content-based 3D object retrieval. In this study, we employ RF algorithms which range from query modification and multiple queries to one-class support vector machines (SVM). Furthermore, we employ pseudo relevance feedback (PRF) and show that it can considerably improve the performance of content-based retrieval. Our comparative study is based upon extensive experiments that take into account datasets containing generic as well as CAD models.
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https://hal.inria.fr/hal-00758974
Contributor : Panagiotis Papadakis Connect in order to contact the contributor
Submitted on : Friday, November 30, 2012 - 11:29:32 AM
Last modification on : Wednesday, September 26, 2018 - 4:32:03 PM
Long-term archiving on: : Friday, March 1, 2013 - 3:45:08 AM

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Panagiotis Papadakis, Ioannis Pratikakis, Trafalis Theodore, Theoharis Theoharis, Stavros Perantonis. Relevance Feedback in Content-based 3D Object Retrieval A Comparative Study. Computer-Aided Design and Applications, CAD Solutions LLC (imprimé) and Taylor & Francis Online (en ligne), 2008, ⟨10.3722/cadaps.2008.753-763⟩. ⟨hal-00758974⟩

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