Results 221 to 230 of about 183,987 (263)

Efficient Mining of Optimal AND/OR Patterns for Visual Recognition

IEEE Transactions on Multimedia, 2015
The co-occurrence features are the composition of base features that have more discriminative power than individual base features. Although they show promising performance in visual recognition applications such as object, scene, and action recognition, the discovery of optimal co-occurrence features is usually a computationally demanding task.
Chaoqun Weng, Junsong Yuan 0001
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Visual pattern recognition in humans

Biological Cybernetics, 1987
We have investigated how observers learn to classify compound Gabor signals as a function of their differentiating frequency components. Performance appears to be consistent with decision processes based upon the least squares minimum distance classifier (LSMDC) operating over a cartesian feature space consisting of the real (even) and imaginary (odd ...
T, Caelli, I, Rentschler, W, Scheidler
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Visual pattern recognition using morphological methods

[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1992
An effective method for visual pattern recognition using morphological techniques is presented. It is shown that it can be successfully used for the recognition of deformed letters. The method extracts morphological information by the successive dilation of an idealized letter set. At each stage a properly defined similarity index is computed.
Ioannis N. M. Papadakis, James G. Reisman, Stelios C. A. Thomopoulos   +2 more
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Visual pattern memory without shape recognition

Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 1995
Abstract Visual pattern memory of Drosophila melanogaster at the torque meter is investigated by a new learning paradigm called novelty choice. In this procedure the fly is first exposed to four identical patterns presented at the wall of the cylinder surrounding it.
M, Dill, M, Heisenberg
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Signal transformation and pattern recognition in visual pathways

Biological Cybernetics, 1976
A model of the visual pathways it has been developed consisting of two neural systems working together: a feed-forward mechanism given by convolutions through different layers and a feed-back one consiting of the comparison of the results of the first one.
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Visual Pattern Recognition in Animals

1971
Some two thousand million years ago living organisms initiated the invention of means for detecting optical signals to be reacted to by purposeful actions. This decisive evolutionary step already took place at the primitive organizational level of the bacteria, as may be inferred from present life.
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Studies on visual pattern recognition in man and animals

Vision Research, 1974
Abstract The investigation of the time characteristics of visual recognition in man and animals has revealed three types of recognition performance. The first and the third types are characterized by independence of the amount of information received of the time of its processing; the second type involves the linear relationship between these ...
V D, Glezer, L I, Leushina, A A, Nevskaya, N V, Prazdnikova   +3 more
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Light adaptation for visual pattern recognition in flies

Vision Research, 1973
Abstract Flies were found to possess the light adaptation phenomena of vertebrates whereby the eyes achieve optimal sensitivity to an intensity increment on a given background illumination. This was found in the photoreceptors and several higher levels including a behavioral response.
G D, McCann, S F, Foster
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Recognition By Components: A Theory Of Visual Pattern Recognition

1986
Publisher Summary This chapter describes recent research and theory on the human's ability to recognize visual entities. The fundamental problem of object recognition is that any single object can project an infinity of image configurations to the retina.
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The Effects of Stereoscopy on the Recognition of Patterns in Visual Noise

Human Factors: The Journal of the Human Factors and Ergonomics Society, 1968
This paper reports the results of a study to determine if “noisy” visual patterns containing binocular disparity cues could be recognized more accurately than similar patterns with no disparity cues. To obtain a quantitative measure of this visual task three-dimensional patterns were employed based on the metric figures technique developed by Fills and
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