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Visual pattern recognition in Drosophila involves retinotopic matching
Nature, 1993Honeybees remember the shapes of flowers and are guided by visual landmarks on their foraging trips. How insects recognize visual patterns is poorly understood. Experiments suggest that they try to match retinotopically the incoming visual pattern with a previously stored memory image.
M, Dill, R, Wolf, M, Heisenberg
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Light adaptation for visual pattern recognition in flies
Vision Research, 1973Abstract 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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Visual Pattern Recognition in Animals
1971Some 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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Pattern Recognition for Automatic Visual Inspection
Computer, 1982Three major approaches to pattern recognition, (1) template matching, (2) decision-theoretic approach, and (3) structural and syntactic approach, are briefly introduced. The application of these approaches to automatic visual inspection of manufactured products are then reviewed. A more general method for automatic visual inspection of IC chips is then
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SOME ASPECTS OF VISUAL PATTERN RECOGNITION
Kybernetes, 1973This paper is concerned with the detection of “features” of visual patterns, in particular with a view to the construction of a reading automaton. The features can be divided into micro‐features and macro‐features. It is much more difficult to detect a macro‐feature than a micro‐feature of a pattern. For the detection of at least a large class of macro‐
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A VISUAL MODEL FOR PATTERN RECOGNITION
International Journal of Neural Systems, 1992A general model for an optical recognition system capable of simultaneous recognition of patterns at different resolution levels is outlined. The model is based on two hierarchic stages of processing networks and presents interesting analogies with the human visual system. Illustrative applications and preliminary experimental results are also briefly
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Visual pattern based approach to object recognition
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. The International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium, 2002We investigate a knowledge model for our previously proposed approach to object recognition based on low level pattern features. This knowledge includes rules which can deal with situations in which an object may be occluded. The approach is based on fuzzy logic techniques, appropriate when approximate recognition results are adequate.
null Weijing Zhang, A. Ralescu
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Simplified Visual Cortex Model for Pattern Recognition
2018 Innovations in Intelligent Systems and Applications Conference (ASYU), 2018A simplified primary cortex model is developed that can be used in pattern recognition. There are 1024 excitatory, 256 inhibitory cells. Integrate and Fire neuron model is chosen in the simulations. Each cell in the model may have three type of sources for input; sensory, connection and a constant background. Spike Timing Dependent Plasticity (STDP) is
Çevikbaş, Can, YILDIRIM, TÜLAY
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Learning optimal features for visual pattern recognition
SPIE Proceedings, 2007The optimal coding hypothesis proposes that the human visual system has adapted to the statistical properties of the environment by the use of relatively simple optimality criteria. We here (i) discuss how the properties of different models of image coding, i.e.
Kai Labusch +3 more
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