A survey and critique of the state of the art in model-based image analysis systems is presented. The paper includes summaries of a selection of systems and evaluates them from the viewpoint of progress toward general vision systems. The paper also describes principles of design of general vision systems.
Get full access to this article
View all access options for this article.
References
1.
Ballard, D., Brown, C., and Feldman, J.1978. An approach to knowledge-directed image analysis . Computer vision systems, ed. A. Hanson and E. Riseman. New York: Academic .
2.
Barrow, H.G., et al.1977. Interactive aids for cartography and photointerpretation: Progress report. Proc. ARPA Image Understanding Workshop, ed. L. Baumann. McLean, Va.: Science Applications, pp. 111-127.
3.
Binford, T.O.1971. Visual perception by computer. Proc. IEEE Conf. Syst. Contr.
4.
Binford, T.O.1981. Inferring surfaces from images. Artificial Intell. 17:205-245.
5.
Blum, H.1967. A transformation for extracting new descriptors of shape . Models for the perception of speech and visual form , ed. W. Dunn. Cambridge, Mass.: MIT Press, pp. 362-380.
6.
Bolles, R.C.1976. Verification vision within a programmable assembly system. AIM-295. Stanford, Calif.: Stanford University Artificial Intelligence Laboratory.
7.
Brooks, R.1981. Symbolic reasoning among 3-dimensional models and 2-dimensional images. Artificial Intell . 17:285-349.
8.
Evans, T.A.1968. A heuristic program to solve geometric analogy problems . Semantic information processing , ed. M. Minsky. Cambridge, Mass.: MIT Press .
9.
Faugeras, O., and Price, K.1980. Semantic description of aerial images using stochastic labeling. Proc. ARPA Image Understanding Workshop . McLean, Va.: Science Applications, pp. 89-94.
10.
Garvey, T.D.1976. Perceptual strategies for purposive vision. Tech . Note 117. Menlo Park, Calif.: SRI International, SRI Artificial Intelligence Center.
11.
Hewitt, C.1968. Planner. Memo 168Cambridge, Mass.: Massachusetts Institute of Technology Artificial Intelligence Laboratory.
12.
Horn, B.K.P.1973. On lightness. Memo 295Cambridge, Mass.: Massachusetts Institute of Technology Artificial Intelligence Laboratory.
13.
Hueckel, M.1973. A local visual operator which recognizes edges and lines . J. Assoc. Comput. Mach.20:634.
14.
Kanade, T., and Reddy, R.1981. Image understanding at CMU. Proc. ARPA Image Understanding Workshop. McLean, Va.: Science Applications, pp. 199-207.
15.
Land, E.H., and McCann, J.J.1971. Lightness and retinex theory. J. Optical Soc. Am.61:1-11.
16.
Levine, M.1978. A knowledge-based computer vision system. Computer vision systems, ed. A. Hanson and E. Riseman. New York: Academic.
17.
Lowe, D.G., and Binford, T.O.1981. The interpretation of geometric structure from image boundaries. Proc. ARPA Image Understanding Workshop , ed. L. Baumann. McLean, Va.:Science Applications, pp. 39-46.
18.
Miyamoto, E., and Binford, T.O.1975 (May). Display generated by a generalized cone representation . Paper delivered at Conf. Comput. Graphics Image Processing, Anaheim, Calif
19.
Moravec, H.P.1980. Obstacle avoidance and navigation in the real world by a seeing robot rover. Ph.D. thesis, Stanford University. AIM 304-A. Stanford, Calif.: Stanford University Artificial Intelligence Laboratory.
20.
Nagao, M., Matsuyama, T., and Ikeda, Y.1978. Region extraction and shape analysis of aerial photographs . Proc. 4th Int. Conf. Pattern Recognition , p. 620.
21.
Nagao, M., and Matsuyama, T.1980. A structural analysis of complex aerial photographs . New York: Plenum.
22.
Nevatia, R.1974. Structured descriptors of complex curved objects for recognition and visual memory. Ph.D. thesis, Stanford University. AIM 250. Stanford, Calif.: Stanford University Artificial Intelligence Laboratory.
23.
Nevatia, R., and Binford, T.O.1977. Description and recognition of curved objects. Artificial Intell. 8:77-98.
24.
Ohlander, R.B.1975. Analysis of natural scenes. Pittsburgh : Carnegie-Mellon University Department of Computer Science.
25.
Ohta, Y.1980. A region-oriented image-analysis system by computer . Ph.D. thesis, Kyoto University Department of Information Science .
26.
Parma, C.C. , Hanson, A.M., and Riseman, E.M.1980. Experiments in schema-driven interpretation of a natural scene. COINS Tech. Rept. 80-10. Amherst, Mass.: University of Massachusetts.
27.
Rubin, S.1978. The ARGOS image understanding system. Proc. ARPA Image Understanding Workshop. McLean, Va.: Science Applications, pp. 159-162. Ph.D. thesis, Carnegie-Mellon University .
28.
Shafer, S., and Kanade, T.1980. KIWI, a flexible system for region segmentation . Tech. Rept. (in preparation). Pittsburgh: Carnegie-Mellon University.
29.
Shirai, Y.1978. Recognition of man-made objects using edge cues . Computer vision systems, ed. A. Hanson and E. Riseman. New York: Academic .
30.
Tamura, H., Mori, S., and Yamawaki, T.1977. Psychological and computational measurements of basic textural features and their comparison. Tech. Rept. Electrotechnical Laboratory and Waseda University.
31.
Thomas, A.J., and Binford, T.O.1974. Information processing analysis of visual perception: A review. AIM-227; CS-408. Stanford, Calif.: Stanford University Artificial Intelligence Laboratory.
