Adaptive appearance based face recognition

Qi Li, Jieping Ye, Min Li, Chandra Kambhamettu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

In this paper, we present an adaptive appearance based face recognition framework that combines the efficiency of global approaches and the robustness of local approaches together. The framework uses a novel eye locator to select an appropriate scheme for appearance based recognition. The eye locator first locates eye candidates via a new strength assignment, determined by the dissimilarity between the local appearance of an image point and the appearance of its neighboring points. Then the eye locator applies a simple but flexible model (half-circle snake) to the local context of the eye candidates in order to either refine the location of an eye candidate or discard non-eye candidates. We show the performance of our framework by testing on challenging face datasets containing extreme expressions, severe occlusions, and varied lighting conditions.

Original languageEnglish (US)
Title of host publicationProcedings - 18th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2006
Pages677-684
Number of pages8
DOIs
StatePublished - Dec 1 2006
Event18th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2006 - Arlington, VA, United States
Duration: Oct 13 2006Oct 15 2006

Publication series

NameProceedings - International Conference on Tools with Artificial Intelligence, ICTAI
ISSN (Print)1082-3409

Other

Other18th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2006
CountryUnited States
CityArlington, VA
Period10/13/0610/15/06

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Li, Q., Ye, J., Li, M., & Kambhamettu, C. (2006). Adaptive appearance based face recognition. In Procedings - 18th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2006 (pp. 677-684). [4031959] (Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI). https://doi.org/10.1109/ICTAI.2006.25