Distance metric learning and feature combination for shape-based 3D model retrieval

3DOR'10 - Proceedings of the 2010 ACM Workshop on 3D Object Retrieval, Co-located with ACM Multimedia 2010

Volumn , Issue , 2010, Pages 63-68

  Ohbuchi, Ryutarou ^a   Furuya, Takahiko ^a  

^a UNIVERSITY OF YAMANASHI   (Japan)

Author keywords

3D geometric modeling; 3D object retrieval; Bag of features; Content based retrieval; Distance metric learning; Feature combination; Manifold ranking

Indexed keywords

SELF ORGANIZING MAPS; THREE DIMENSIONAL COMPUTER GRAPHICS;

3D GEOMETRIC MODEL; 3D MODEL RETRIEVAL; 3D OBJECT RETRIEVAL; BAG-OF-FEATURES; CONTENT-BASED RETRIEVAL; DISTANCE METRIC LEARNING; FEATURE COMBINATION; MANIFOLD RANKING; RETRIEVAL ALGORITHMS; VISUAL FEATURE;

CONTENT BASED RETRIEVAL;

EID: 78650461155     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1877808.1877822     Document Type: Conference Paper

References (15)

1. D-Y. Chen, X.-P. Tian, Y-T. Shen, M. Ouh-young, On Visual Similarity Based 3D Model Retrieval, Computer Graphics Forum, 22(3), 223-232, (2003).
2. G. Csurka, C.R. Dance, L. Fan, J. Willamowski, C. Bray, Visual Categorization with Bags of Keypoints, Proc. ECCV'04 workshop on Statistical Learning in Computer Vision, 59-74, (2004).
3. T. Furuya, R. Ohbuchi, Dense sampling and fast encoding for 3D model retrieval using bag-of-visual features, Proc. ACM CIVR 2009, (2009).
4. P. Guerts, D. Ernst, L. Wehenkel, Extremely randomized trees, Machine Learning, 2006, 36(1), 3-42, (2006).
5. M. Iyer, S. Jayanti, K. Lou, Y. Kalyanaraman, K. Ramani, Three Dimensional Shape Searching: State-of-the-art Review and Future Trends, CAD, 5(15), 509-530, (2005).
6. M. Kazhdan, T. Funkhouser, S. Rusinkiewicz, Rotation Invariant Spherical Harmonics Representation of 3D Shape Descriptors, Proc. Symposium of Geometry Processing (SGP) 2003, 167-175 (2003).
7. D.G. Lowe, Distinctive Image Features from Scale-Invariant Keypoints, Int'l Journal of Computer Vision, 60(2), (2004).
8. R. Ohbuchi, K. Osada, T. Furuya, T. Banno, Salient local visual features for shape-based 3D model retrieval, Proc. SMI'08, 93-102, (2008).
9. P. Shilane, P. Min, M. Kazhdan, T. Funkhouser, The Princeton Shape Benchmark, Proc. SMI'04, 167-178, (2004). http://shape.cs.princeton.edu/search. html.
10. J. Sivic, A. Zisserman, Video Google: A text retrieval approach to object matching in Videos, Proc. ICCV 2003, Vol. 2, 1470-1477, (2003).
11. J.W.H. Tangelder, R. C. Veltkamp: A survey of content based 3D shape retrieval methods. Multimedia Tools and Applications. 39(3), 441-471 (2008).
12. E. Wahl, U. Hillenbrand, G. Hirzinger, Surflet-Pair-Relation Histograms: A Statistical 3D-Shape Representation for Rapid Classification, Proc. 3DIM 2003, 474-481, (2003).
13. J. Winn, A. Criminisi, T. Minka, Object categorization by learned universal visual dictionary, Proc. ICCV05, Vol. II, 1800-1807, (2005).
14. J. Zhang, R. Kaplow, R. Chen, K. Siddiqi, The McGill Shape Benchmark (2005). http://www.cim.mcgill.ca/shape/benchMark/.
15. D. Zhou, O. Bousquet, T.N. Lal, J. Weston, B. Schölkopf, Learning with Local and Global Consistency, Proc. NIPS 2003 (2003).