Proper scale for modeling visual data

Image and Vision Computing

Volumn 16, Issue 2, 1998, Pages 89-98

  Solina, Franc ^a   Leonardis, Aleš ^a  

^a UNIVERSITY OF LJUBLJANA   (Slovenia)

Author keywords

Image modeling; Scale; Vision architecture

Indexed keywords

COMPUTATIONAL COMPLEXITY; DATA STRUCTURES; IMAGE PROCESSING; OPTIMIZATION;

MINIMAL DESCRIPTION LENGTH; SELECTIVE IMAGE MODELING; VISION ARCHITECTURE;

VISION;

EID: 0032003579     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0262-8856(97)00052-8     Document Type: Article

References (25)

1. R. Bajcsy, Active perception, Proceedings; of the IEEE 76 (8) (1988) 996-1005.
2. Y. Aloimonos, Purposive and qualitative active vision, Proceedings of the 10th International Conference on Pattern Recognition, Atlantic City, NJ, June 1990, pp. 346-360.
3. L. Stark, Recognizing object function through reasoning about 3-D shape and dynamic physical properties, Proceedings IEEE Computer Vision and Pattern Recognition Conference, Seattle, WA, 1994, pp. 546-553.
4. D. Marr, Vision, Freeman, San Francisco, 1982.
5. A. Leonardis, A. Gupta, R. Bajcsy, Segmentation of range images as the search for geometric parametric models, International Journal of Computer Vision 14 (1995) 253-277.
6. A. Leonardis, F. Solina, A. Macerl, A direct recovery of volumetric models in range images using recover-and-select paradigm, in Jan-Olof Eklundh (Ed.), Computer Vision-ECCV'94, Volume I, Stockholm, Sweden, Springer, Berlin, 1994, pp. 309-318.
7. A.P. Pentland, Part segmentation for object recognition, Neural Computation 1 (1989) 82-91.
8. A. Leonardis, Image analysis using parametric models: model-recovery and model-selection paradigm, PhD Dissertation, University of Ljubljana, Faculty of Electrical Engineering and Computer Science, Ljubljana, Slovenia, 1993.
9. Y.G. Leclerc, Constructing simple stable descriptions for image partitioning, International Journal of Computer Vision 3 (1989) 73-102.
10. S.W. Zucker, Region growing: childhood and adolescence. Computer Graphics Image Processing 5 (1976) 382-399.
11. A.F. Bobick, R.C. Bolles, The representation space paradigm of concurrent evolving object descriptions, IEEE Transactions on Pattern Recognition and Machine Intelligence 14 (2) (1992) 146-156.
12. H. Simon, Theories of bounded rationality, in C. McGuire, R. Radner (Eds.), Decision and Organization, Chapter 8, pp. 161-176, North-Holland, Amsterdam, 1972.
13. J. Hochberg, Perceptual Organization, chapter Levels of Perceptual Organization. Lawrence Erlbaum Associates, New Jersey, 1981, pp. 255-276.
14. C. Shannon, A mathematical theory of communication, Bell Systems Technical Journal 27 (1948) 379-423.
15. J. Rissanen, Modeling by shortest data description, Automatica 14 (1978) 465-471.
16. J. Rissanen, A universal prior for integers and estimation by minimum description length, The Annals of Statistics 11 (1983) 412-431.
17. J. Rissanen, Minimum-Description-Length Principle. In Encyclopedia of Statistical Sciences, Vol. 5, pp. 523-527, John Wiley and Sons, New York, 1987.
18. P. Fua, A.J. Hanson, Objective functions for feature discrimination, Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, pp. 1596-1602, Morgan Kaufman, Detroit, MI, August 1989.
19. K.C. Keeler, Map representations and optimal encoding for image segmentation, Technical Report CICS-TH-292, Center for Intelligent Control Systems, March 1991.
20. M. Li, P. Vitanyi, An introduction to Kolmogorov complexity and its applications, Second edn, Springer, New York, 1997.
21. A.P. Pentland, Perceptual organization and the representation of natural form, Artificial Intelligence 28 (2) (1986) 293-331.
22. F.P. Ferrie, J. Lagarde, P. Whaite, Darboux frames, snakes and superquadrics: geometry from the bottom up, IEEE Transactions on Pattern Analysis and Machine Intelligence 15 (8) (1993) 771-784.
23. F. Solina, R. Bajcsy, Recovery of parametric models from range images: the case for superquadrics with global deformations, IEEE Trans. on Pattern Analysis and Machine Intelligence 12 (2) (1990) 131-147.
24. F. Solina, A. Leonardis, Shape decomposition using part-models of different granularity, in C. Arcelli, L.P. Cordella, G. Sanniti di Baja (Eds.), Aspects of Visual Form Processing, World Scientific, Singapore, 1994.
25. A. Leonardis, A. Jaklič, B. Kverh, F. Solina, Simultaneous recovery of surface and superquadric models, in Axel Pinz (Ed.), Pattern Recognition 1996, Proceedings of 20th Workshop of the Austrian Pattern Recognition Group (OAGM/AAPR), Shriftenreihe der OCG, Band 90, pp. 27-36, Wien, Munchen, 1996. Osterreichische Computer Gesellschaft, R. Oldenburg.