ANN hybrid ensemble learning strategy in 3D object recognition and pose estimation based on similarity

Lecture Notes in Computer Science

Volumn 3644, Issue PART I, 2005, Pages 650-660

  Nian, Rui ^a   Ji, Guangrong ^a   Zhao, Wencang ^a,b   Feng, Chen ^a  

^a OCEAN UNIVERSITY OF CHINA   (China)

^b QINGDAO UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; COMPUTER SIMULATION; DATABASE SYSTEMS; DECISION THEORY; ESTIMATION; INFORMATION TECHNOLOGY; INTELLIGENT NETWORKS; LEARNING SYSTEMS; NEURAL NETWORKS; PARALLEL PROCESSING SYSTEMS; THREE DIMENSIONAL; TREES (MATHEMATICS); DECISION TREES; GESTURE RECOGNITION; INTELLIGENT COMPUTING; RADIAL BASIS FUNCTION NETWORKS;

DECISION TREES; HUMAN VISION SIMULATION; INTELLIGENT MACHINES; POSE ESTIMATION; 3D OBJECT RECOGNITION; AZIMUTH; LARGE-SCALE DATABASE; MANIFOLD; MULTIPLE VIEW IMAGE SEQUENCES; PARALLEL COMPUTATION; RADIAL BASIS FUNCTION NEURAL NETWORKS;

OBJECT RECOGNITION;

EID: 27144518025     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11538059_68     Document Type: Conference Paper

References (17)

1. Besl, P., Jain, R.: Three-dimensional object recognition .Surveys, 17(1), (1985) 75-145
2. Pope, A., Lowe, D.: Learning object recognition models from images. In ICCV93, (1993) 296-301
3. Bradski, G., Grossberg, S.: Fast-Learning VIEWNET Architectures for Recognizing Three-dimensional Objects from Multiple Two-dimensional Views. Neural Networks, Vol.8, (1995) 1053-1080
4. Cyr, C. M., Kimia, B. B.: A Similarity-Based Aspect-Graph Approach to 3D Object Recognition. International Journal of Computer Vision, Volume 57 Issue 1 (2004)
5. Fauselt, L.: Fundamentals of Neural Networks. Prentice-Hall, International Inc., Englewood CliGs, NJ, (1994)
6. Huang, D.S.: Systematic Theory of Neural Networks for Pattern Recognition. Publishing House of Electronic Industry of China, Beijing (1996) 70-78
7. Wunsch, P., Winkler, S., Hirzinger, G.: Real-time pose estimation of 3-D objects from camera images using neural networks. In Proc. IEEE International Conference on Robotics and Automation, vol. 4, (1997) 3232-3237
8. Yuan, C., Niemann, H.: Neural networks for the recognition and pose estimation of 3D objects from a single 2D perspective view. Image and Vision Computing, Vol.19, Issue 910, (2001) 585-592
9. Wang, S. J.: Biomimetics pattern recognition. INNS, ENNS, JNNS Newletters Elseviers, (2003)
10. Liu, Z., Kersten, D.: 2D observers for human 3D object recognition? In: Advances in Neural Information Processing Systems. Jordan, M. I., Kearns, M. J., Solla, S. A., eds., vol. 10, (1997)
11. Basri, R., Weinshall, D.: Distance Metric between 3D Models and 2D Images for Recognition and Classification. Mathematics & Computer Science, (1994)
12. Klein, P., Sebastian, T., and Kimia, B.: Shape matching using edit-distance: an implementation. In: Twelfth Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), (2001) 781-790
13. Xing, E.P., Ng, A.Y., Jordan, M.I., and Russell, S.: Distance metric learning, with application to clustering with side information. Advances in Neural Information Processing Systems, (2002)
14. Wang, S. J., Wang, B.N.: Analysis and theory of high-dimension spatial geometry for Artificial Neural Networks. Acta Electronica Sinica, Vol. 30 No.1, (2002) 1-4
15. Wang, S. J., Xu, J., Wang, X.B., Qin, H., Multi-camera human-face personal identification system based on the biomimetics pattern recognition. Acta Electronica Sinica,Vol. 31 No.1, (2003) 1-4
16. Katsuhiko.T., Shogo.N.: Implementation and refinement of decision trees using neural networks for hybrid knowledge acquisition. Artificial Intelligence in Engineering Vol. 9, Issue 4, (1995) 265-276
17. Wang, S. J., Li, Z. Z., Chen, X. D., Wang, B.N.: Discussion on the basic mathematical models of Neurons in General purpose Neurocomputer. Acta Electronica Sinica, Vol. 29 No.5, (2001)