DocumentCode
2001307
Title
Face-Vase Illusion CNN
Author
Li, Weidong ; Ren, Ying ; Min, Lequan
Author_Institution
Sch. of Appl. Sci., Univ. of Sci. & Technol., Beijing, China
Volume
2
fYear
2008
fDate
13-17 Dec. 2008
Firstpage
157
Lastpage
161
Abstract
The cellular neural/nonlinear network (CNN) has become a useful tool for image and signal processing, robotic and biological visions, and higher brain functions. visual illusion is defined as any fallacious perception of reality. In 1997, Chua proposed a CNN template named face-vase illusion (FVI) CNN. It can simulate some visual illusions. In this paper, we figure out the local rules of the FVI CNN. A theorem has been set up which proves that the FVI CNN does satisfy the local rules. An interesting function of the FVI CNN is that it can also detect the connectivity in an image. Some numerical simulations are given.
Keywords
brain; cellular neural nets; face recognition; numerical analysis; brain functions; cellular neural/nonlinear network; face-vase illusion CNN; numerical simulations; Biological system modeling; Biomedical signal processing; Brain modeling; Cellular networks; Cellular neural networks; Computational intelligence; Displays; Face detection; Numerical simulation; Robot vision systems; cellular neural network; connectivity; face-vase illusion CNN;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security, 2008. CIS '08. International Conference on
Conference_Location
Suzhou
Print_ISBN
978-0-7695-3508-1
Type
conf
DOI
10.1109/CIS.2008.135
Filename
4724756
Link To Document