DocumentCode :
479751
Title :
Research on Visual Invariance Based on Dynamic Receptive Field
Author :
Xiao, Songshan ; Gao, Nan
Author_Institution :
Coll. of Precision Instrum. & Opto-Electron. Eng., Tianjin Univ., Tianjin
Volume :
1
fYear :
2008
fDate :
12-14 Dec. 2008
Firstpage :
273
Lastpage :
276
Abstract :
As an important problem in human visual research, visual invariance has not been explained well in essence yet. Hierarchical receptive field model which could explain a part of visual invariance was considered as a fixed structure comprised of different layers of cells in visual cortex without dynamic characteristics. Aiming at this problem, a dynamic receptive field model with changeable parameters based on Gabor function was proposed to explain visual invariance. Then a rotation invariance model was presented for instance to take the experiment of image feature extraction. The result showed that the dynamic receptive field in this paper had the invariance for different types of images and could excellently explain visual invariance from the math, which also accorded with the recent neurophysiological studies on visual system.
Keywords :
computer vision; feature extraction; Gabor function; dynamic receptive field model; hierarchical receptive field model; image feature extraction; rotation invariance model; visual invariance; Brain modeling; Cognition; Computer science; Educational institutions; Humans; Mathematical model; Retina; Shape; Software engineering; Visual system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
Type :
conf
DOI :
10.1109/CSSE.2008.792
Filename :
4721741
Link To Document :
بازگشت