DOI: 10.1126/science.224.4655.1299. Computer Vision and Natural Constraints

10.1126/science.224.4655.1299

Crossref journal-article

American Association for the Advancement of Science (AAAS)

Science (221)

Abstract

Computer vision, the automatic construction of scene descriptions from image input data, has just entered its second decade. Approaches have varied widely, especially in the amounts of symbolic, domain-dependent knowledge and inference that are incorporated into the vision process. Much current research addresses the extraction of physical properties of the scene (depth, surface orientation, reflectance) from images by using only a few general assumptions about the scene domain. Extraction of physical parameters is part of a hierarchy of operations needed to transform image input data to symbolic descriptions. Two other processes that serve as examples are stereo fusion and the partitioning of image phenomena into related groups. Computer vision research is influencing theories of animal perception as well as the design of computing architectures for artificial intelligence.

Bibliography

Brown, C. M. (1984). Computer Vision and Natural Constraints. Science, 224(4655), 1299â1305.

Authors 1

C. M. Brown (first)

References 35 Referenced 35

ADDANKI S THESIS U ROCHESTER R (1983).
BAKER, H.H., SIGART NEWSLETTER 82: 12 (1982). / SIGART NEWSLETTER (1982)
Baker, H. H., Proceedings of the 7th International Joint Conference on Artificial Intelligence: 631 (1981). / Proceedings of the 7th International Joint Conference on Artificial Intelligence (1981)
Ballard D. H. Computer Vision (1982).
BALLARD, D.H., PARALLEL VISUAL COMPUTATION, NATURE 306: 21 (1983). (10.1038/306021a0) / NATURE (1983)
Ballard, D. H., Proceedings of the 7th International Joint Conference on Artificial Intelligence: 1068 (1981). / Proceedings of the 7th International Joint Conference on Artificial Intelligence (1981)
BARLOW, H.B., THE FERRIER LECTURE, 1980 - CRITICAL LIMITING FACTORS IN THE DESIGN OF THE EYE AND VISUAL-CORTEX, PROCEEDINGS OF THE ROYAL SOCIETY OF LONDON SERIES B-BIOLOGICAL SCIENCES 212: 1 (1981). / PROCEEDINGS OF THE ROYAL SOCIETY OF LONDON SERIES B-BIOLOGICAL SCIENCES (1981)
BARROW, H.G., INTERPRETING LINE DRAWINGS AS 3-DIMENSIONAL SURFACES, ARTIFICIAL INTELLIGENCE 17: 75 (1981). (10.1016/0004-3702(81)90021-7) / ARTIFICIAL INTELLIGENCE (1981)
BARROW, H.G., COMPUTATIONAL VISION, PROCEEDINGS OF THE IEEE 69: 572 (1981). (10.1109/PROC.1981.12026) / PROCEEDINGS OF THE IEEE (1981)
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BRADY, M, COMPUTATIONAL APPROACHES TO IMAGE UNDERSTANDING, COMPUTING SURVEYS 14: 3 (1982). (10.1145/356869.356871) / COMPUTING SURVEYS (1982)
CHIEN Y.T. IEEE T COMPUT 31 (1982). (10.1109/TC.1982.1675900)
COTTRELL, G.W., COGNITION BRAIN THEO 6: 89 (1983). / COGNITION BRAIN THEO (1983)
DEV, P, PERCEPTION OF DEPTH SURFACES IN RANDOM-DOT STEREOGRAMS - NEURAL MODEL, INTERNATIONAL JOURNAL OF MAN-MACHINE STUDIES 7: 511 (1975). (10.1016/S0020-7373(75)80030-7) / INTERNATIONAL JOURNAL OF MAN-MACHINE STUDIES (1975)
FELDMAN, J.A., CONNECTIONIST MODELS AND THEIR PROPERTIES, COGNITIVE SCIENCE 6: 205 (1982). (10.1207/s15516709cog0603_1) / COGNITIVE SCIENCE (1982)
FUKUNAGA K INTRO STATISTICAL PA (1972).
Gibson J. J. The Perception of the Visual World (1950). (10.2307/1418003)
Grimson W. E. L. From Images to Surfaces (1981). (10.7551/mitpress/3132.001.0001)
HANSON A.R. COMPUTER VISION SYST (1977).
HINTON G.E. PARALLEL MODELS ASS (1981).
IKEUCHI, K, NUMERICAL SHAPE FROM SHADING AND OCCLUDING BOUNDARIES, ARTIFICIAL INTELLIGENCE 17: 141 (1981). (10.1016/0004-3702(81)90023-0) / ARTIFICIAL INTELLIGENCE (1981)
JULESZ B F CYCLOPEAN PERCEPTI (1971).
KANADE, T, RECOVERY OF THE 3-DIMENSIONAL SHAPE OF AN OBJECT FROM A SINGLE VIEW, ARTIFICIAL INTELLIGENCE 17: 409 (1981). (10.1016/0004-3702(81)90031-X) / ARTIFICIAL INTELLIGENCE (1981)
KOFFKA K PRINCIPLES GESTALT P (1935).
MARR, D, DIRECTIONAL SELECTIVITY AND ITS USE IN EARLY VISUAL PROCESSING, PROCEEDINGS OF THE ROYAL SOCIETY OF LONDON SERIES B-BIOLOGICAL SCIENCES 211: 151 (1981). / PROCEEDINGS OF THE ROYAL SOCIETY OF LONDON SERIES B-BIOLOGICAL SCIENCES (1981)
10.1126/science.968482
MARR D VISION (1982).
MAYHEW, JEW, PSYCHOPHYSICAL AND COMPUTATIONAL STUDIES TOWARDS A THEORY OF HUMAN STEREOPSIS, ARTIFICIAL INTELLIGENCE 17: 349 (1981). (10.1016/0004-3702(81)90029-1) / ARTIFICIAL INTELLIGENCE (1981)
MCCLELLAND, J.L., AN INTERACTIVE ACTIVATION MODEL OF CONTEXT EFFECTS IN LETTER PERCEPTION .1. AN ACCOUNT OF BASIC FINDINGS, PSYCHOLOGICAL REVIEW 88: 375 (1981). (10.1037/0033-295X.88.5.375) / PSYCHOLOGICAL REVIEW (1981)
Minsky M. Perceptrons (1969).
Roberts L. G. Optical and Electro-Optical Interaction Processing (1965).
ROSENBLATT F PRINCIPLES NEURODYNA (1962).
Rosenfeld A. Digital Picture Processing (1982). (10.1016/0146-664X(82)90113-7)
SABBAH D THESIS U ROCHESTER R (1981).
WILSON, H.R., 4 MECHANISM MODEL FOR THRESHOLD SPATIAL VISION, VISION RESEARCH 19: 19 (1979). (10.1016/0042-6989(79)90117-2) / VISION RESEARCH (1979)

Dates

Type	When
Created	18 years, 11 months ago (Oct. 5, 2006, 3:41 p.m.)
Deposited	7 months, 3 weeks ago (Jan. 11, 2025, 2:27 a.m.)
Indexed	7 months, 3 weeks ago (Jan. 12, 2025, 12:05 a.m.)
Issued	41 years, 2 months ago (June 22, 1984)
Published	41 years, 2 months ago (June 22, 1984)
Published Print	41 years, 2 months ago (June 22, 1984)

Funders 0

None

BibTeX

@article{Brown_1984, title={Computer Vision and Natural Constraints}, volume={224}, ISSN={1095-9203}, url={http://dx.doi.org/10.1126/science.224.4655.1299}, DOI={10.1126/science.224.4655.1299}, number={4655}, journal={Science}, publisher={American Association for the Advancement of Science (AAAS)}, author={Brown, C. M.}, year={1984}, month=jun, pages={1299–1305} }

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