Citation

Tay, Noel Nuo Wi and Loo, Chu Kiong and Chockalingam, Letchumanan (2012) Biologically inspired face recognition: Toward pose-invariance. International Journal of Neural Systems, 22 (6). ISSN 0129-0657

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Abstract

A small change in image will cause a dramatic change in signals. Visual system is required to be able to ignore these changes, yet specific enough to perform recognition. This work intends to provide biological-backed insights into 2D translation and scaling invariance and 3D pose-invariance without imposing strain on memory and with biological justification. The model can be divided into lower and higher visual stages. Lower visual stage models the visual pathway from retina to the striate cortex (V1), whereas the modeling of higher visual stage is mainly based on current psychophysical evidences.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Centre for Diploma Programmes (CDP) Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	28 Dec 2012 07:17
Last Modified:	12 Sep 2014 04:31
URII:	http://shdl.mmu.edu.my/id/eprint/3732

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