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Drawings of THINGS: A large-scale drawing dataset of 1854 object concepts. [PDF]
Behav Res MethodsMukherjee K +5 more
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Spatiotemporal letter processing in visual word recognition uncovered by perceptual oscillations. [PDF]
J VisArguin M, Fortier-St-Pierre S.
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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
G. Nagy, null 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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Visual pattern memory without shape recognition
Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 1995Visual 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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Compression for visual pattern recognition
2008 3rd International Symposium on Communications, Control and Signal Processing, 2008To date, computer science solves pattern recognition problems by highly task specific algorithms. Searching for a generic, unifying principle of pattern recognition, Benedetto et al. showed that compression is a good candidate: For the domain of text, approximating the mutual information of patterns by the achievable compression factors allows to ...
Gunther Heidemann, Helge Ritter
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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
Phase Oscillatory Network and Visual Pattern Recognition
IEEE Transactions on Neural Networks and Learning Systems, 2015We explore a properly interconnected set of Kuramoto type oscillators that results in a new associative-memory network configuration, which includes second- and third-order additional terms in the Fourier expansion of the network's coupling. Investigation of the response of the network to different external stimuli indicates an increase in the network ...
Rosangela, Follmann +3 more
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