reduced complexity face recognition system
Subtitle: towards assisting age associated memory impairment.
Published: 2004
Language: eng
Number of pages: 85
Description: This thesis proposes a reduced complexity face recognition system that could be suitable for use on a mobile computer, and is intended as an aid to people with cognitive impairments. It is shown that a prevalent effect of normal aging, which inhibits communication and social inclusion, is a difficulty remembering proper names.This system was achieved by first developing a face detection algorithm that makes use of multiple, orientation specific, scalable detectors to achieve computationally efficient rotation and scale invariant detection. Secondly, a subspace approach to face recognition was employed to reduce memory requirements. Lastly, accuracy was improved by exploiting the tip-of-the-tongue phenomenon; where a shortened list of name-face matches prompts the user to make a positive identification. The result was a cascaded system that achieved an accuracy of 85 percent on a realistic test set.
Notes: Advisers:  K. N. Plataniotis; A. N. Venetsanapoulos.

Thesis (M.A.Sc.)--University of Toronto, 2004.

Electronic version licensed for access by U. of T. users.

Source: Masters Abstracts International, Volume: 43-03, page: 0931.

MICR copy on microfiche (1 microfiche).