Results 201 to 210 of about 183,987 (263)
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Visual Pattern Recognition by Moment Invariants
IEEE Transactions on Information Theory, 1962In 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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Analysis of the Process of Visual Pattern Recognition by the Neocognitron
Neural Networks, 1989Abstract A neural network model of visual pattern recognition called the “neocognitron,” was earlier proposed by the author. It is capable of deformation-invariant visual pattern recognition. After learning, it can recognize input patterns without being affected by deformation, changes in size, or shifts in position.
Kunihiko Fukushima
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Interactive visual pattern recognition
Object recognition supported by user interaction for service robots, 2003Computer Assisted Visual Interactive Recognition (CAVIAR) draws on sequential pattern recognition, image database, expert systems, pen computing, and digital camera technology. It is designed to recognize wildflowers and other families of similar objects more accurately than machine vision and faster than most laypersons. The novelty of the approach is
George Nagy, Jie Zou
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1985
One of the major problems in the understanding of visual perception concerns how spatially structured stimuli are visually encoded and processed by the nervous system. Over the last decade two main theories of form perception and pattern recognition have emerged.
D. F. Andrews, A. M. Herzberg
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One of the major problems in the understanding of visual perception concerns how spatially structured stimuli are visually encoded and processed by the nervous system. Over the last decade two main theories of form perception and pattern recognition have emerged.
D. F. Andrews, A. M. Herzberg
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Effect of visual noise on pattern recognition
Experimental Brain Research, 2005We recognize objects even when they are partially degraded by visual noise. Using monkeys performing a sequential delayed match-to-sample task, we studied the relation between the amount of visual noise (5, 10, 15, 20 or 25%) degrading the eight black and white stimuli used here, and the accuracy and speed with which matching stimuli were identified ...
Munetaka, Shidara, Barry J, Richmond
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2014
An overview of the visual pattern recognition process and associated key issues are presented in this chapter. The varying scales and shapes, inter-class similarity, large number of features, and complex backgrounds are issues related to visual pattern recognition. The book focuses on these issues. The chapter introduces different algorithms addressing
Pramod Kumar Pisharady +2 more
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An overview of the visual pattern recognition process and associated key issues are presented in this chapter. The varying scales and shapes, inter-class similarity, large number of features, and complex backgrounds are issues related to visual pattern recognition. The book focuses on these issues. The chapter introduces different algorithms addressing
Pramod Kumar Pisharady +2 more
openaire +1 more source