Results 241 to 250 of about 908,114 (297)

Visual pattern recognition in Drosophila involves retinotopic matching

Nature, 1993
Honeybees 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
openaire   +4 more sources

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.
openaire   +4 more sources

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

Effect of visual noise on pattern recognition

Experimental Brain Research, 2005
We 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
openaire   +2 more sources

Visual Pattern Recognition

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, Prahlad Vadakkepat, Loh Ai Poh   +2 more
openaire   +1 more source