Abstract
Visual perception has perplexed researchers in philosophy and psychology for centuries. Now it’s also perplexing computer scientists. Despite persistent efforts by many noted scientists, it is still unclear how our brain “sees” the visual signals received by our eyes [10]. Earlier it was believed that a good understanding of optics, the retinal image, and the anatomy and physiology of eye and brain would unravel the puzzle of visual perception. However, the many advances in these fields have not solved the problem.
This research was supported by the National Science Foundation under grant number MCS81000148.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
A. D. Allen, Measuring the empirical properties of a set, IEEE Trans. Systems, Man and Cybernetics, SMC-4, pp. 66–73, 1974.
H. G. Barrow and J. M. Tenenbaum, Recovering intrinsic scene characteristics for images, in “Computer Vision Systems,” ed., A. Hanson and E. M. Riseman, Academic Press, 1978.
J. C. Bezdek and P. F. Castelaz, Prototype classification and feature selection with fuzzy sets, IEEE Trans. on Systems, Man and Cybernetics, SMC-7, #2, pp. 87–92, February 1977.
S. K. Chang, On the execution of fuzzy programs using finite-state machines, IEEE Trans. Computers, vol. C-21, #3, pp. 241–253, March 1972.
L. S. Davis and A. Rosenfeld, Hierarchial relaxation for waveform parsing, in “Computer Vision Systems,” ed. A. R. Hanson and E. M. Riseman, Academic Press, pp. 101–109, 1978.
R. O. Duda and P. Hart, “Pattern Classification and Scene Analysis,” Wiley International, 1973.
L. D. Erman, F. Hayes-Roth, V. R. Lesser, and D. R. Reddy, “The Hearsay-II Speech-Understanding system: Integrating knowledge to resolve uncertainty,” Computing Surveys, vol. 12, #2, pp. 213–253, June 1980.
M. A. Fischler, On the representation of natural scenes, in “Computer Vision Systems,” ed. A. R. Hanson and E. M. Riseman, Academic Press, pp. 47–52, 1978.
B. R. Gaines, Foundations of fuzzy reasoning, Int. J. Man-Machine Studies, vol. 8, #6, pp. 623–668, 1976.
J. J. Gibson, “The Ecological Approach to Visual Perception,” Houghton Miflin Company, Boston, 1979.
G. H. Granlund, In search of a general picture processing operator, Computer Graphics and Image Processing, vol. 8, #2, pp. 155–178, October 1978.
G. H. Granlund, D. Antonsson, J. Arvidsson, M. Hedlund, P. Henden, H. Knutsson, K. Lundgren, B. Nilsson, B. V. Post, and R. Wilson, The GOP Image Processor, in Proceedings of Computer Architecture for Pattern Analysis and Image Database Management, pp. 195–200, Hot Springs, Virginia, November 1981.
R. L. Haar, The representation and manipulation of position information using spatial relation, TR 923, Computer Science Center, University of Maryland, August 1980.
A. R. Hanson and E. M. Riseman, VISIONS: A computer system for interpreting scenes, in “Computer Vision Systems,” ed. A. R. Hanson and E. M. Riseman, Academic Press, pp. 303–333, 1978.
S. M. Haynes and R. Jain, Detection of Moving Edges, Technical Report, TR 82–004, Department of Computer Science, Wayne State University, Detroit, Michigan, 1982.
R. Jain, Applications of fuzzy sets for the analysis of complex scenes, in Advances in Fuzzy Set Theory and Applications, ed. M.M. Gupta, North Holland, pp. 577–587, 1979.
R. Jain, Extraction of motion information from peripheral processes, Trans. on PAMI, vol. PAMI-3, #5, pp. 489–503, September 1981.
R. Jain and H. H. Nagel, On the analysis of accumulative difference pictures from image sequences of real world scenes, IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. PAMI-1, #2, pp. 206–214, April 1979.
R. Jain and J. K. Aggarwal, Computer Analysis of Curved Objects, Proceedings of the IEEE, vol. 67, #5, pp. 805–812, March 1979.
E. T. Lee, The shape-oriented dissimilarity of polygons and its application to the classification of chromosome images, Pattern Recognition vol. 6, pp. 47–60, 1974.
D. Marr, Early processing of visual information, A. I. Memo No. 340, MIT, December 1975.
W. N. Martin and J. K. Aggarwal, SURVEY-Dynamic Scene Analysis, Computer Graphics and Image Processing, vol. 7, #3, pp. 356–374, May 1978.
R. Reddy, Pragmatic aspects of machine vision, in “Computer Vision Systems,” ed. A. R. Hanson and E. M. Riseman, Academic Press, 1978.
A. Rosenfeld, R. A. Hummel and S. W. Zucker, Scene Labeling by Relaxation Operations, IEEE Trans. Systems, Man, and Cybernetics, vol. SMC-6, pp. 420–433, 1976.
B. Widrow, The rubber mask technique I. Pattern Recognition, vol. 5, pp. 175–194, 1973.
P. H. Winston, “Artificial Intelligence,” Addison-Wesley Publication, Reading, Massachusetts, 1977.
L. A. Zadeh, Fuzzy Sets, Information and Control, vol. 8, #3, pp. 338–353, June 1965.
L. A. Zadeh, The concept of a linguistic variable and its application to approximate reasoning, Part I, Information Sciences, vol. 8, pp. 199–249, Part II, Information Sciences, vol. 8, pp. 301–357, Part III, Information Sciences, vol. 9, pp. 43–80, 1975.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1983 Plenum Press, New York
About this chapter
Cite this chapter
Jain, R., Haynes, S. (1983). Imprecision in Computer Vision. In: Wang, P.P. (eds) Advances in Fuzzy Sets, Possibility Theory, and Applications. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-3754-6_15
Download citation
DOI: https://doi.org/10.1007/978-1-4613-3754-6_15
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-3756-0
Online ISBN: 978-1-4613-3754-6
eBook Packages: Springer Book Archive