Particle filter based robust recognition and pose estimation of 3D objects in a sequence of images

Lecture Notes in Control and Information Sciences

Volumn 370, Issue , 2008, Pages 241-253

  Lee, Jeihun ^a   Baek, Seung Min ^a   Choi, Changhyun ^a   Lee, Sukhan ^a  

^a Sungkyunkwan University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

BANDPASS FILTERS; MONTE CARLO METHODS; OBJECT RECOGNITION; ROBOTICS;

3D OBJECT RECOGNITION; AUTOMATIC SELECTION; ENVIRONMENTAL VARIATIONS; IN- SITU MONITORING; MULTIPLE INTERPRETATIONS; PARTICLE FILTERING; ROBUST RECOGNITION; SEQUENCE OF IMAGES;

GESTURE RECOGNITION;

EID: 36749094021     PISSN: 01708643     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-540-76729-9_19     Document Type: Conference Paper

References (20)

1. Farias, M.F.S., de Carvalho, J.M.: Multi-view Technique For 3D Polyhedral Object Rocognition Using Surface Representation. Revista Controle & Automacao pp. 107-117 (1999)
2. Shirai, Y.: Three-Dimensional Computer Vision. Springer, New York (1987)
3. Ben-Arie, J., Wang, Z., Rao, R.: Iconic recognition with affine-invariant spectral. In: Proc. IAPR-IEEE International Conference on Pattern an Recognition, vol. 1, pp. 672-676 (1996)
4. Fischler, M.A., Bolles, R.C.: Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Comm. Assoc. Comp. Mach. 24(6), 381-395 (1981)
5. Olson, C.F.: Efficient pose clustering using a randomized algorithm. International Journal of Computer Vision 23(2), 131-147 (1997)
6. David, P., DelMenthon, D.F., Duraiswami, R., Samet, H.: Softposit: Simultaneous pose and correspondence determination. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2352, pp. 698-703. Springer, Heidelberg (2002)
7. Johnson, A.E., Hebert, M.: Using spin images for efficient object recognition in cluttered 3D scenes. IEEE Transactions on Pattern Analysis and Machine Intelligence 21(5), 433-449 (1999)
8. Frome, A., Huber, D., Kolluri, R., Bulow, T., Malik, J.: Recognizing Objects in Range Data Using Regional Point Descriptors. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, vol. 3024, Springer, Heidelberg (2004)
9. Rothganger, F., Lazebnik, S., Schmid, C., Ponce, J.: 3D Object Modeling and Recognition Using Affine- Invariant Patches and Multi-View Spatial Constraints. In: IEEE Computer Society Conference on Computer Vision and Pattrn Recognition, vol. 2, pp. 272-280 (2003)
10. Lowe, D.: Object recognition from local scale invariant features. In: ICCV 1999. Proc. 7th International Conf. Computer Vision, Kerkyra, Greece, pp. 1150-1157 (1999)
11. Belongie, S., Malik, J., Puzicha, J.: Shape matching and object recognition using shape contexts. IEEE Trans. On Pattern Analysis and Machine Intelligence 24(4), 509-522 (2002)
12. Carmichael, O., Herbert, M.: Shape-Based Recognition of Wiry Object. IEEE Transactions on Pattern Recognition and Machine Intelligence (2004)
13. Thayananthan, A., Stenger, B., Torr, P.H.S., Cipolla, R.: Shape context and chamfer matching in cluttered scenes. In: Proc. IEEE Conference On Computer Vision and Pattern Recognition (2003)
14. Lee, S., Kim, E., Park, Y.: 3D Object Recognition using Multiple Features for Robotic Manipulation. In: IEEE International Conference on Robotics and Automation, pp. 3768-3774 (2006)
15. Olson, C.F.: A probabilistic formulation for Hausdorff matching. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 150-156 (1998)
16. Subrahmonia, J., Cooper, D.B., Keren, D.: Practical reliable bayesian recognition of 2D and 3D objects using implicit polynomials and algebraic invariants. IEEE Transactions on Pattern Analysis and Machine Intelligence 18(5), 505-519 (1996)
17. Boykov, Y., Huttenlocher, D.P.: A New Bayesian Framework for Object Recognition, 517-523 (1999)
18. Li, S.Z., Hornegger, J.: A two-stage probabilistic approach for object recognition. In: Burkhardt, H., Neumann, B. (eds.) ECCV 1998. LNCS, vol. 1407, pp. 733-747, Springer, Heidelberg (1998)
19. Schiele, B., Crowley, J.L.: Probabilistic object recognition using multidimensional receptive field histograms. In: ICPR (1996)
20. Lee, S., Lee, S., Lee, J., Moon, D., Kim, E., Seo, J.: Robust Recognition and Pose Estimation of 3D Objects Based on Evidence Fusion in a Sequence of Images. In: IEEE International Conference on Robotics and Automation, pp. 3773-3779 (2007)