Multiple Object Category Detection and Localization Using Generative and Discriminative Models-Reference-Cited by-同舟云学术

Multiple Object Category Detection and Localization Using Generative and Discriminative Models

Published:2009 Issue:10 Volume:E92-D Page:2112-2121
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

DAS Dipankar¹,KOBAYASHI Yoshinori¹,KUNO Yoshinori¹

Affiliation:

1. Department of Information and Computer Sciences, Saitama University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

http://www.jstage.jst.go.jp/article/transinf/E92.D/10/E92.D_10_2112/_pdf

Reference27 articles.

1. [1] A. Mansur and Y. Kuno, “Specific and class object recognition for service robots through autonomous and interactive methods, ” IEICE Trans. Inf. & Syst., vol.E91-D, no.6, pp.1793-1803, June 2008.

2. [2] G. Csurka, C. Dance, L. Fan, J. Willamowski, and C. Bray, “Visual categorization with bags of keypoints, ” Proc. European Conf. on Computer Vision (ECCV'04), Workshop on Statistical Learning in Computer Vision, Prague, 2004.

3. Combining color and shape information for illumination-viewpoint invariant object recognition

4. [4] X. Stella, G. Ralph, and S. Jianbo, “Concurrent object recognition and segmentation by graph partioning, ” Proc. Neural Information Processing Systems (NIPS), pp.1383-1390, Vancouver, Canada, 2002.

5. [5] B. Leibe, A. Leonardis, and B. Schiele, “Combined object categorization and segmentation with an implicit shape model, ” Proc. ECCV'04, Workshop on Statistical Learning in Computer Vision, pp.17-32, Prague, 2004.

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