[1]Horvitz E, Lengyel J. Perception, Attention, and Re- sources: A Decision--Theoretic Approach to Graphics Rendering [C]//In Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence. Providence, 1997 : 238-249.
[2]Chtistopoulos C, Skodras A N, Ebrahimi T. JPEG2000 Still Image Coding System:an Overview[J]. IEEE Tram. Consumer Electron. , 2000,46 : 1103-1127.
[3]Itti L. Models of Bottom up and Top--down Visu- al Attention [D]. California: California Institute of Technology, 2000.
[4]Salah A A, Alpaydin E, Akarun L. A Selective At- tention- based Method of Visual Pattern Recogni- tion with Application to Handwritten Digit Recogni- tion and Face Recognition[J]. IEEE Trans. on Pat- tern Analysis and Machine Intelligence, 2002, 24 (3) :420-425.
[5]Breazeal C, Edsinger A, Fitzpatrick R, et al. Social Constraints on Animate Vision[J]. IEEE Intelligent Systems, Special Issue on Humanoid Robotics, 2000,15(4) :32-37.
[6]Itti L, Koch C, Niebur E. A Model of Saliency-- based Visual- attention for Rapid Scene Analysis [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1998,20 (11) : 1254-1259.
[7]Broadbent D E. Perception and Communication[M]. New York: Pergamon, 1958.
[8]Qian S, Chen D. Discrete Gabor Transform [J]. IEEE Trans. on Signal Processing, 1993, 41 (7) : 2429-2438.
[9]Itti L, Koch C. Computational Modeling of Visual Attention[J]. Nature Reviews Neuroseienee, 2001,2 (3) :194-203.
[10]Robert C, Richard G. A Cortical Model of Winner-- take--all Competition via Lateral Inhibition[J]. Neu- ral Networks, 1992, S ( 1 ): 47-54. |