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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.
M. Hu
openaire   +3 more sources

Phase Oscillatory Network and Visual Pattern Recognition

IEEE Transactions on Neural Networks and Learning Systems, 2015
We 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
openaire   +3 more sources

Multiwavelength Optoelectronic Synapse with 2D Materials for Mixed-Color Pattern Recognition.

ACS Nano, 2022
Neuromorphic visual systems emulating biological retina functionalities have enormous potential for in-sensor computing, with prospects of making artificial intelligence ubiquitous.
M. Islam   +11 more
semanticscholar   +1 more source

Event-Driven Continuous STDP Learning With Deep Structure for Visual Pattern Recognition

IEEE Transactions on Cybernetics, 2019
Human beings can achieve reliable and fast visual pattern recognition with limited time and learning samples. Underlying this capability, ventral stream plays an important role in object representation and form recognition. Modeling the ventral steam may
Daqi Liu, Shigang Yue
semanticscholar   +1 more source

Methodology to integrate augmented reality and pattern recognition for crack detection

Comput. Aided Civ. Infrastructure Eng., 2022
In‐field visual inspections have inherent challenges associated with humans such as low accuracy, excessive cost and time, and safety. To overcome these barriers, researchers and industry leaders have developed image‐based methods for automatic ...
Kaveh Malek   +2 more
semanticscholar   +1 more source

Interactive visual pattern recognition

Object recognition supported by user interaction for service robots, 2003
Computer 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
openaire   +1 more source

Visual Pattern Recognition

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
openaire   +3 more sources

Visual pattern memory without shape recognition

Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 1995
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
openaire   +2 more sources

Compression for visual pattern recognition

2008 3rd International Symposium on Communications, Control and Signal Processing, 2008
To 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
openaire   +1 more source

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