MCOV: A covariance descriptor for fusion of texture and shape features in 3D point clouds

Proceedings - 2014 International Conference on 3D Vision, 3DV 2014

Volumn , Issue , 2015, Pages 551-558

  Cirujeda, Pol ^a   Mateo, Xavier ^a   Dicente, Yashin ^a   Binefa, Xavier ^a  

^a UNIVERSITAT POMPEU FABRA   (Spain)

Author keywords

3D scene analysis; 3D shape descriptors; Covariance feature fusion

Indexed keywords

COLOR MATCHING;

3D SCENE ANALYSIS; 3D SHAPE DESCRIPTORS; COMPACT REPRESENTATION; COVARIANCE DESCRIPTOR; COVARIANCE FEATURES; DISCRIMINATIVE POWER; FEATURE VARIATIONS; SPATIAL TRANSFORMATION;

TEXTURES;

EID: 84925326325     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/3DV.2014.11     Document Type: Conference Paper

References (27)

1. D. G. Lowe, "Distinctive image features from scale-invariant keypoints," International Journal on Computer Vision, IJCV, vol. 60, no. 2, pp. 91-110, 2004
2. E. R. Smith, B. J. King, C. V. Stewart, and R. J. Radke, "Registration of combined range and intensity scans: Initialization through verification," Computer Vision and Image Understanding, CVIU, vol. 110, no. 2, pp. 226 - 244, 2008
3. C. Wu, B. Clipp, X. Li, J.-M. Frahm, and M. Pollefeys, "3d model matching with viewpoint-invariant patches (vip)," Computer Vision and Pattern Recognition, CVPR, pp. 1-8, 2008
4. G. T. Flitton, T. P. Breckon, and N. M. Bouallagu, "Object recognition using 3d sift in complex ct volumes." BMVC, pp. 1-12, 2010
5. A. Johnson and M. Hebert, "Using spin images for efficient object recognition in cluttered 3d scenes," Pattern Analysis and Machine Intelligence, vol. 21, no. 5, pp. 433-449, 1999
6. N. Brusco, M. Andreetto, A. Giorgi, and G. M. Cortelazzo, "3d registration by textured spin-images," in International Conference on 3D Digital Imaging and Modeling, 3DIM, 2005, pp. 262-269
7. C. Chua and R. Jarvis, "Point signatures: A new representation for 3d object recognition," International Journal of Computer Vision, IJCV, vol. 25, no. 1, pp. 63-85, 1997
8. A. Frome, D. Huber, R. Kolluri, T. Bülow, and J. Malik, "Recognizing objects in range data using regional point descriptors," in European Conference on Computer Vision, ECCV, 2004, vol. 3023, pp. 224-237
9. A. Flint, A. R. Dick, and A. Van Den Hengel, "Thrift: Local 3d structure recognition." vol. 7, 2007, pp. 182-188
10. R. Rusu, N. Blodow, and M. Beetz, "Fast point feature histograms (fpfh) for 3d registration," in International Conference on Robotics and Automation, ICRA. IEEE, 2009, pp. 3212-3217
11. A. Zaharescu, E. Boyer, and R. Horaud, "Keypoints and local descriptors of scalar functions on 2d manifolds," International Journal of Computer Vision, IJCV, vol. 100, no. 1, pp. 78-98, 2012
12. F. Tombari, S. Salti, and L. Di Stefano, "A combined textureshape descriptor for enhanced 3d feature matching," in International Conf. on Image Processing. IEEE, 2011, pp. 809-812
13. - "Unique signatures of histograms for local surface description," in European Conf. on Computer Vision, 2010, vol. 6313, pp. 356-369
14. A. Kovnatsky, M. M. Bronstein, A. M. Bronstein, and R. Kimmel, "Photometric heat kernel signatures," in Scale Space and Variational Methods in Computer Vision. Springer, 2012, pp. 616-627
15. O. Tuzel, F. Porikli, and P. Meer, "Region covariance: A fast descriptor for detection and classification," European Conf. on Computer Vision, pp. 589-600, 2006
16. - "Pedestrian detection via classification on riemannian manifolds," Pattern Analysis and Machine Intelligence, vol. 30, no. 10, pp. 1713-1727, 2008
17. D. Fehr et al., "Compact covariance descriptors in 3d point clouds for object recognition," in International Conference on Robotics and Automation, ICRA, 2012, pp. 1793-1798
18. H. Tabia, H. Laga, D. Picard, and P.-H. Gosselin, "Covariance descriptors for 3d shape matching and retrieval," CVPR, 2014
19. V. Arsigny, P. Fillard, X. Pennec, and N. Ayache, "Logeuclidean metrics for fast and simple calculus on diffusion tensors," Magnetic resonance in medicine, vol. 56, no. 2, pp. 411-421, 2006
20. A. Cherian, S. Sra, A. Banerjee, and N. Papanikolopoulos, "Jensen-bregman logdet divergence with application to efficient similarity search for covariance matrices," IEEE Trans. on PAMI, vol. 35, no. 9, pp. 2161-2174, 2013
21. W. Förstner and B. Moonen, "A metric for covariance matrices," Quo vadis Geodesia, pp. 113-128, 1999
22. S. S. Wilks, "Certain generalizations in the analysis of variance," Biometrika, vol. 24, no. 3/4, pp. 471-494, 1932
23. A. Torsello, E. Rodolà, and A. Albarelli, "Sampling relevant points for surface registration," in 3DIMPVT, 2011, pp. 290- 295
24. T. Lindeberg, Scale-space theory in Computer Vision. Springer, 1993
25. D. P. Luebke, "A developer's survey of polygonal simplification algorithms," Computer Graphics and Applications, vol. 21, no. 3, pp. 24-35, 2001
26. K. Lai, L. Bo, X. Ren, and D. Fox, "A large-scale hierarchical multi-view rgb-d object dataset," in International Conference on Robotics and Automation, ICRA, 2011, pp. 1817-1824
27. R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision. Cambridge university press, 2003