Face recognition with quantum associative networks using overcomplete gabor wavelet
Document Type
Article
Publication Date
1-1-2010
Abstract
Gabor wavelet is considered the best mathematical descriptor for receptive fields in the striate cortex. Besides, as a basis function, it is suitable to sparsely represent natural scenes due to its property in maximizing information. It is argued that Gabor-like receptive fields are emerged by sparseness-enforcing or infomax method. In this paper, we incorporate Gabor overcomplete representation into quantum holography for image recognition tasks, with suggestions in improvements through iterative method for reconstruction.
Keywords
Computer science, artificial intelligence, gabor wavelet, striate cortex, image recognition, face recognition
Divisions
ai
Publication Title
Cognitive Computation
Volume
2
Issue
4
Additional Information
Tay, Nuo Wi Loo, Chu Kiong Perus, Mitja Si
COinS