Results 261 to 270 of about 904,256 (300)

Visual pattern recognition by moment invariants

IEEE Transactions on Information Theory, 1962
In this paper a theory of two-dimensional moment invariants for planar geometric figures is presented. A fundamental theorem is established to relate such moment invariants to the well-known algebraic invariants. Complete systems of moment invariants under translation, similitude and orthogonal transformations are derived.
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Pattern Recognition for Automatic Visual Inspection

Computer, 1982
Three 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, 1973
This 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, 1992
A 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, 2002
We 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), 2018
A 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, 2007
The 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, Udo Siewert, Thomas Martinetz, Erhardt Barth   +3 more
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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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Spiking neural network for visual pattern recognition

2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems (MFI), 2014
Most of visual pattern recognition algorithms try to emulate the mechanism of visual pathway within the human brain. Regarding of classic face recognition task, by using the spatiotemporal information extracted from Spiking neural network (SNN), batch learning rule and on-line learning rule stand out from their competitors.
Daqi Liu, Shigang Yue
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Psycho-visual pattern recognition: Computer Vision

2015
Object recognition is one of the most crucial and yet least understood aspects of visual perception. A simple answer to what we mean by visually recognizing an object may be, naming the object in sight. Humphreys et al. have identified several stages in visual processing that results in naming the object through recognition.
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