Abstract
Broadly speaking this chapter covers the techniques used in scene analysis — broadly speaking because “scene analysis” is not at all well defined. The rough divisions within this chapter are as follows.
-
1.
The three different concepts which are sometimes meant by the expression “scene analysis”: (a) The robotics problem, which can be thought of in terms of perceiving words consisting of bricks, wedges, and other similar shapes assembled in meaningful groups, (b) The problem of, for example, detecting and recognizing an animal hiding in the undergrowth, (c) The recognition of objects such as human faces
-
2.
Two essentially different ways of looking at pattern recognition in terms of what it is used for and in terms of what it is (Section 16.2)
-
3.
Why the design of automatic means of carrying out “scene analysis” requires a very good understanding of the basic nature of pattern recognition (Section 16.3)
-
4.
Some examples of work on scene analysis (Section 16.4)
-
5.
Summing up (Section 16.5)
This is a preview of subscription content, log in via an institution to check access.
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
Cayley, A., 1889–1897, Collected Mathematical Papers, Cambridge University Press.
Clowes, M. B., 1968, Transformation grammars and the organisation of pictures seminar, Paper No. 11, CSIRD Division of Computing Research, Canberra.
Clowes, M. B., 1971, On seeing things, Art. Int. 2: 79–116.
Griffith, A., 1970, Computer recognition of prismatic solids, MAC Tech. Rept. 73, MIT, Cambridge, Mass.
Guzman, A., 1967, Some aspects of pattern recognition by computer, MAC Tech. Rept. 37, MIT, Cambridge, Mass.
Guzman, A., 1968a, Decomposition of a visual scene into three dimensional bodies, Proc. Fall Joint Computer Conf., pp. 291–304, IFIPS.
Guzman, A., 1968b, Computer recognition of three dimensional objects in visual scenes, MAC Tech. Rept. 59, MIT, Cambridge, Mass.
Hibbert, P., and Colin Vossen, H., 1952, Geometry and the Imagination, Chelsea Pub. Co., New York.
Hodes, L., 1961, Machine processing of line drawings, MIT Lincoln Laboratory.
Huffman, D. A., 1968, Decision criteria for a class of impossible objects, Proc. 1st Hawaii Int. Conf. Systems Sciences.
Huffman, D. A., 1976, A duality concept for the analysis of polyhedral scenes, In: Machine Intelligence, Vol. 8 (E. W. Elesch and D. Michie, eds.), pp. 475–492, Halsted Press, New York.
Penrose, L. S., and Penrose, R., 1958, Impossible objects. A special type of illusion, Brit. J. Psych. 49: 31.
Ullman, J. R., 1973, Pattern Recognition Techniques, Butterworths, London.
Waltz, D., 1972, Shedding light on shadows, Vision Flash 29, Artificial Intelligence Laboratory, MIT, Cambridge, Mass.
Winston, P.H., 1968, Holes, A I Memo 163, Artificial Intelligence Laboratory, MIT, Cambridge, Mass.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1978 Plenum Press, New York
About this chapter
Cite this chapter
Newman, E.A. (1978). Scene Analysis: Some Basics. In: Batchelor, B.G. (eds) Pattern Recognition. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-4154-3_16
Download citation
DOI: https://doi.org/10.1007/978-1-4613-4154-3_16
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-4156-7
Online ISBN: 978-1-4613-4154-3
eBook Packages: Springer Book Archive