Similarity Learning for 3D Object Retrieval Using Relevance Feedback and Risk Minimization

Author:

Akgül Ceyhun Burak,Sankur Bülent,Yemez Yücel,Schmitt Francis

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Reference45 articles.

1. Akgül, C. B. (2007). Density-based shape descriptors and similarity learning for 3D object retrieval. Ph.D. thesis, Dept. Signals-Images, Télécom ParisTech, Paris.

2. Akgül, C. B., Sankur, B., Yemez, Y., & Schmitt, F. (2008). Similarity score fusion by ranking risk minimization for 3D object retrieval. In Proceedings of the Eurographics workshop on 3D object retrieval.

3. Akgül, C. B., Sankur, B., Yemez, Y., & Schmitt, F. (2009). 3D model retrieval using probability density-based shape descriptors. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(6), 1117–1133.

4. Bustos, B., Keim, D. A., Saupe, D., Schreck, T., & Vranic, D. V. (2005). Feature-based similarity search in 3D object databases. ACM Computing Surveys, 37(4), 345–387.

5. Chang, C.-C., & Lin, C.-J. (2001). LIBSVM: a library for support vector machines. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm .

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