Planar motion detection by randomized triangle matching

Pattern Recognition Letters

Volumn 18, Issue 8, 1997, Pages 741-749

  Fermin, Iris ^a,c   Imiya, Atsushi ^a,b  

^a CHIBA UNIVERSITY   (Japan)

^b UNIVERSITY OF HAMBURG   (Germany)

^c ADVANCED TELECOMMUNICATIONS RESEARCH INSTITUTE INTERNATIONAL   (Japan)

Author keywords

Geometric probing; Hough transform; Planar shape; Point correspondences; Randomized algorithm; Rigid motion; Triangle search

Indexed keywords

ALGORITHMS; COMPUTATIONAL GEOMETRY; MATHEMATICAL TRANSFORMATIONS; PARAMETER ESTIMATION; RANDOM PROCESSES;

HOUGH TRANSFORMS;

COMPUTER VISION;

EID: 0031199070     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(97)00058-5     Document Type: Article

References (20)

1. Aggarwal, J.K., Nandhakumar, N., 1988. On computation of motion from sequences of images - A review. Proc. IEEE 76, 917-935.
2. Agrawal, P., Sharir, M., 1993. Circle shooting in a simple polygon. J. Algorithms 14, 64-87.
3. Barron, J.L., Eagleson, R., 1996. Recursive estimation of time-varying motion and structure parameters. Pattern Recognition 29, 797-818.
4. Belkasim, S.O., Shridhar, M., Ahmadi, M., 1991. Pattern recognition with moment invariants: A comparative study and new results. Pattern Recognition 24, 1117-1138.
5. Faugeras, O., Maybank, S., 1990. Motion from point matches: Multiplicity of solutions. Internat. J. Comput. Vision 4, 225-246.
6. Fermin, I., Imiya, A., Ichikawa, A., 1996. Randomized polygon search for planar motion detection. Pattern Recognition Lett. 17, 1109-1115.
7. Horn, B., 1987. Closed-form solution of absolute orientation using unit quaternions. Optical Soc. Amer. Ser. A 4, 629-642.
8. Hummel, R., Sundareswaran, V., 1993. Motion parameter estimation from global flow field data. IEEE Trans. Pattern Anal. Machine Intell. 15, 459-476.
9. Kälviäinen, H., 1993. Motion estimation and the randomized Hough transform (RHT): New methods with gradient information. In: Lecture Notes in Computer Science, vol. 719. Springer, Berlin, pp. 191-198.
10. Kälviäinen, H., 1994. Detecting multiple moving objects by randomized Hough transform. In: Cappelini, V. (Ed.) Time-Varying Image Processing and Moving Object, vol. 3. Elsevier, Amsterdam, pp. 375-382.
11. Kälviäinen, H., Oja, E., Xu, L., 1992. Randomized Hough transform applied to transnational and rotational motion analysis. In: Proc. 11th IAPR Internat. Conf. on Pattern Recognition, pp. 672-675.
12. Kanatani, K., 1985. Tracing planar surface motion from a projection without knowing the correspondence. Comput. Vision, Graphics, Image Process. 29, 1-12.
13. Kanatani, K., 1993. Geometric Computation for Machine Vision. Oxford University Press, Oxford.
14. Kita, Y., 1994. A registration method for rigid objects without point matching, In: Lecture Notes in Computer Science, vol. 800. Springer, Berlin, pp. 143-150.
15. Serra J., 1982. Image Analysis and Mathematical Morphology. Academic Press, London.
16. Taalebinezhaad, A., 1992. Direct recovery of motion and shape in the general case by fixation. IEEE Trans. Pattern Anal. Machine Intell. 14, 847-853.
17. Ueno, T., 1997. A randomized method for symmetry detection of planar shapes. Bacheor Dissertation, Dept. of Information and Computer Sciences, Chiba University, March 1997.
18. Wolfson, H., 1990. Model-based object recognition by geometric hashing, In: Lecture Notes in Computer Science, vol. 427. Springer, Berlin, pp. 526-536.
19. Wolter, J.D., Woo, T.C., Volz, R.A., 1985. Optimal algorithms for symmetry detection in two and three dimensions. Visual Computer 1, 37-48.
20. Wood, J., 1996. Invariant pattern recognition: A review. Pattern Recognition 29, 1-17.