Hypothesis verification in model-based object recognition with a gaussian error model

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1407, Issue , 1998, Pages 642-656

  Jurie, Frédéric ^a  

^a UNIVERSITÉ CLERMONT AUVERGNE   (France)

Author keywords

Model based recognition; Pose verification

Indexed keywords

ERRORS; GAUSSIAN DISTRIBUTION; ITERATIVE METHODS; OBJECT RECOGNITION;

FEATURE CORRESPONDENCE; GAUSSIAN ERRORS; HYPOTHESIS VERIFICATIONS; IMAGE FEATURES; MODEL-BASED OPC; MODEL-BASED RECOGNITION; MODELING FEATURES; SETS OF FEATURES;

COMPUTER VISION;

EID: 84957807060     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/BFb0054770     Document Type: Conference Paper

References (19)

1. T.D. Alter and D.W. Jacobs. Error propagation in full 3d from 2d object recognition. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, pages 892-898, Seatle, Washington, 1994.
2. J.R. Beveridge and E.M. Risemau. Optimal geometric model matching under full 3d perspective. Computer Vision and Image Understanding, 61(3):351-364, 1995.
3. T.M. Breuel. Fast recognition using adaptive subdivisions of transformation space. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, pages 445-451, Champain, Illinois, 1992.
4. R. Brunelli and D. Falavigna. Person identification using multiple cues. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(10):955-966, October 1995.
5. A.C. Califano and R. Mohan. Mulidimensional indexing for recognizing visual shapes. IEEE Transactions on Pattern Analysis and Machine Intelli9ence, 16(4):373-392, April 1994.
6. R. Fletcher. Practical Methods of Optimization. John Wiley and Sons, New York, wiley-interscience publications edition, 1987.
7. T.L. Gandhi and O.I. Camps. Robust feature selection for object recognition using uncertain 2d image data. In Proe. IEEE Conference on Computer Vision and Pattern Recognition, pages 281-287, Seatle, Washington, 1994.
8. D.M. Gavrila and F.C.A. Groen. 3d object recognition from 2d images using geometric hashing. Pattern Recognition Letters, 13:263-278, 1992.
9. W.E.L. Grimson. The combinatorics of heuristic search term for object recognition in cluttered environment. IEEE Transactions on Pattern Analysis and Machine Intelligence, 13(9):920-935, September 1991.
10. W.E.L Grimson, D.P. Huttenlocher, and D.W. Jacobs. A study of affine matching with bounded sensor error. In Proc. European Conference on Computer Vision, pages 291-306, Santa Margherita Ligure, Italy, 1992.
11. D.P. Huttenlocher and T.A. Cass. Measuring the quality of hypotheses in modelbased recognition. In Proc. European Conference on Computer Vision, pages 773-777, Santa Margherita Ligure, Italy, 1992.
12. D.P Hutteulocher, G.A. Klanderman, and W.J Rucklidge. Comparing images using the hausdoff distance. IEEE Transactions on Pattern Analysis and Machine Intelligence, 15(9):850-863, 1993.
13. D.W. Jacobs. Robust and efficient detection of salient convex groups. 18(1):541-548, January 1996.
14. H. Murase and S.K. Nayar. Visual learning and recognition od 3d object from appearance. International Journal of Computer Vision, 18(14):5-24, 1995.
15. C.F. Olson. Time and space efficient pose clustering. In Proe. IEEE Conference on Computer Vision and Pattern Recognition, pages 251-258, Seatle, Washington, 1994.
16. A.P. Pentland, B. Moghadam, and T. Starner. View-based and modular eigenspaces for face recognition. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, pages 84-91, Seatle, Washington, 1994.
17. K.B. Sarachik and W.E.L. Grimson. Gaussian error models for object recognition. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, pages 400-406, New-York, 1993.
18. S. Sclaroff and A.P. Pentland. Modal matching for correspondence and recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17:545-561, 6 1995.
19. B.M. ter I-Iaar Romeny, L.M.J. Florack, A.H. Salden, and M.A. Viergever. Higher order differential structure of images. Image and Vision Computing, 12(6):317-325, 1994.