Face recognition using 'lateral inhibition' function features

Autor:	A. A. Tel’nykh, N. S. Bellyustin, I. V. Nuidel, V. G. Yakhno, M. E. Sokolov, A. V. Koval’chuk
Rok vydání:	2009
Předmět:	General Computer Science Contextual image classification Basis (linear algebra) Computer science business.industry 3D single-object recognition ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Cognitive neuroscience of visual object recognition Image processing Pattern recognition Facial recognition system Electronic Optical and Magnetic Materials Haar-like features Computer Science::Computer Vision and Pattern Recognition Pattern recognition (psychology) Computer vision Artificial intelligence Electrical and Electronic Engineering business
Zdroj:	Optical Memory and Neural Networks. 18:1-5
ISSN:	1934-7898 1060-992X
DOI:	10.3103/s1060992x09010019
Popis:	We constructed a universal system for object recognition, which uses preliminary training based on sample images of “objects” and “non-objects.” The images are represented by separate points in multi-dimensional space of features. A recognition system which uses the features space obtained on the basis of lateral-inhibition type functions is described.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::06e597e831e670a86d0e99e7279e9aec https://doi.org/10.3103/s1060992x09010019 Zobrazit plný text záznamu Full text from SpringerLink