Pose estimation using local structure-specific shape and appearance context

Proceedings - IEEE International Conference on Robotics and Automation

Volumn , Issue , 2013, Pages 2080-2087

  Buch, Anders Glent ^a   Kraft, Dirk ^a   Kamarainen, Joni Kristian ^b   Petersen, Henrik Gordon ^a   Kruger, Norbert ^a  

^a UNIVERSITY OF SOUTHERN DENMARK   (Denmark)

^b TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

DISCRIMINATIVE POWER; EDGE AND TEXTURES; FEATURE SPACE; LOCAL DESCRIPTORS; POSE ESTIMATION; QUANTITATIVE EVALUATION; SHAPE INFORMATION; STATE-OF-THE-ART APPROACH;

ALIGNMENT;

ROBOTICS;

EID: 84887308037     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICRA.2013.6630856     Document Type: Conference Paper

References (34)

1. R. Osada, T. Funkhouser, B. Chazelle, and D. Dobkin, "Shape distributions," ACM Transactions on Graphics (TOG), vol. 21, pp. 807-832, Oct. 2002.
2. D. Lowe, "Object recognition from local scale-invariant features," in IEEE International Conference on Computer Vision (ICCV), vol. 2, pp. 1150-1157, 1999.
3. S. Belongie, J. Malik, and J. Puzicha, "Shape matching and object recognition using shape contexts," IEEE Transactions Pattern Analysis and Machine Intelligence (PAMI), vol. 24, pp. 509-522, Apr. 2002.
4. K. Mikolajczyk and C. Schmid, "A performance evaluation of local descriptors," IEEE Transactions Pattern Analysis and Machine Intelligence (PAMI), vol. 27, no. 10, pp. 1615-1630, 2005.
5. N. Dalal and B. Triggs, "Histograms of oriented gradients for human detection," in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), vol. 1, pp. 886-893, 2005.
6. H. Bay, T. Tuytelaars, and L. V. Gool, "Surf: Speeded up robust features," in IEEE European Conference on Computer Vision (ECCV), May 2006.
7. A. E. Johnson and M. Hebert, "Using spin images for efficient object recognition in cluttered 3D scenes," IEEE Transactions Pattern Analysis and Machine Intelligence (PAMI), vol. 21, pp. 433-449, May 1999.
8. G. Hetzel, B. Leibe, P. Levi, and B. Schiele, "3D object recognition from range images using local feature histograms," in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), vol. 2, pp. II-394-II-399, 2001.
9. A. Frome, D. Huber, R. Kolluri, T. Bulow, and J. Malik, "Recognizing objects in range data using regional point descriptors," in IEEE European Conference on Computer Vision (ECCV), May 2004.
10. R. B. Rusu, N. Blodow, and M. Beetz, "Fast point feature histograms (FPFH) for 3D registration," in IEEE International Conference on Robotics and Automation (ICRA), pp. 3212-3217, May 2009.
11. P. Bariya and K. Nishino, "Scale-hierarchical 3D object recognition in cluttered scenes," in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1657-1664, June 2010.
12. B. Drost, M. Ulrich, N. Navab, and S. Ilic, "Model globally, match locally: Efficient and robust 3D object recognition," in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 998-1005, June 2010.
13. N. Gelfand, N. J. Mitra, L. J. Guibas, and H. Pottmann, "Robust global registration," in Proceedings of the third Eurographics symposium on Geometry processing, 2005.
14. R. B. Rusu, N. Blodow, Z. C. Marton, and M. Beetz, "Aligning point cloud views using persistent feature histograms," in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3384-3391, 2008.
15. S. M. Olesen, S. Lyder, D. Kraft, N. Kr̈uger, and J. B. Jessen, "Realtime extraction of surface patches with associated uncertainties by means of kinect cameras," Journal of Real-Time Image Processing, pp. 1-14, 2012.
16. F. Pilz, N. Pugeault, and N. Kr̈uger, "Comparison of point and line features and their combination for rigid body motion estimation," in Statistical and Geometrical Approaches to Visual Motion Analysis, vol. 5604, pp. 280-304, 2009.
17. R. Detry, N. Pugeault, and J. Piater, "A probabilistic framework for 3D visual object representation," IEEE Transactions Pattern Analysis and Machine Intelligence (PAMI), vol. 31, no. 10, pp. 1790-1803, 2009.
18. G. Kootstra, M. Popovic, J. A. Jørgensen, K. Kuklinski, K. Miatliuk, D. Kragic, and N. Kr̈uger, "Enabling grasping of unknown objects through a synergistic use of edge and surface information," International Journal of Robotics Research (IJRR), vol. 31, no. 10, pp. 1190-1213, 2012.
19. M. Fischler and R. Bolles, "Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography," Communications of the ACM, vol. 24, no. 6, pp. 381-395, 1981.
20. M. Felsberg and G. Sommer, "The monogenic signal," IEEE Transactions on Signal Processing, vol. 49, pp. 3136-3144, December 2001.
21. M. Felsberg, S. Kalkan, and N. Kr̈uger, "Continuous dimensionality characterization of image structures," Image and Vision Computing, vol. 27, pp. 628-636, 2009.
22. N. Pugeault, F. Ẅorg̈otter, and N. Kr̈uger, "Visual primitives: Local, condensed, and semantically rich visual descriptors and their applications in robotics," International Journal of Humanoid Robotics (Special Issue on Cognitive Humanoid Vision), vol. 7, no. 3, pp. 379-405, 2010.
23. D. Nister, "Preemptive ransac for live structure and motion estimation," Machine Vision and Applications, vol. 16, no. 5, pp. 321-329, 2005.
24. O. Chum, J. Matas, and J. Kittler, "Locally optimized ransac," in DAGM Symposium, pp. 236-243, 2003.
25. O. Chum and J. Matas, "Matching with PROSAC-progressive sample consensus," in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 220-226, 2005.
26. M. Muja and D. G. Lowe, "Fast approximate nearest neighbors with automatic algorithm configuration," in International Conference on Computer Vision Theory and Applications (VISAPP), pp. 331-340, 2009.
27. D. G. Lowe, "Distinctive Image Features from Scale-Invariant Keypoints," International Journal of Computer Vision (IJCV), vol. 2, no. 60, pp. 91-110, 2004.
28. R. B. Rusu and S. Cousins, "3D is here: Point Cloud Library (PCL)," in IEEE International Conference on Robotics and Automation (ICRA), May 9-13 2011.
29. P. J. Besl and N. D. McKay, "A method for registration of 3-d shapes," IEEE Transactions Pattern Analysis and Machine Intelligence (PAMI), vol. 14, pp. 239-256, Feb. 1992.
30. Z. Zhang, "Iterative point matching for registration of free-form curves and surfaces," International Journal of Computer Vision (IJCV), vol. 13, pp. 119-152, Oct. 1994.
31. K. Lai, L. Bo, X. Ren, and D. Fox, "A large-scale hierarchical multi-view rgb-d object dataset," in IEEE International Conference on Robotics and Automation (ICRA), pp. 1817-1824, May 2011.
32. H. Shum and R. Szeliski, "Systems and experiment paper: Construction of panoramic image mosaics with global and local alignment," International Journal of Computer Vision (IJCV), vol. 36, no. 2, pp. 101-130, 2000.
33. M. Brown and D. Lowe, "Recognising panoramas," in IEEE International Conference on Computer Vision (ICCV), pp. 1218-1225, 2003.
34. A. Kasper, Z. Xue, and R. Dillmann, "The kit object models database: An object model database for object recognition, localization and manipulation in service robotics," International Journal of Robotics Research (IJRR), vol. 31, no. 8, pp. 927-934, 2012. a