Facial feature extraction using gradient features and MQDF matching

Wataru Oyama, M. Shridhar, P. Watta

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

1 Citation (Scopus)

Abstract

In this paper, we propose a novel approach for the extraction of facial features from frontal face images. The proposed approach involves 3 main processing stages. In the first stage, a bounding box is placed over the face. In the second stage, candidate positions for the facial features are identified using a set of MQDF-based distance functions. Finally, in the third stage, the candidate feature positions are evaluated using an MQDF-based verification function, and an optimal configuration is chosen. Results on the FERET database indicate that with a proper setting of parameters, the proposed algorithm can accurately extract facial features over many different scales.

Original languageEnglish
Title of host publicationProceedings of the 8th IASTED International Conference on Signal and Image Processing, SIP 2006
Pages329-334
Number of pages6
Publication statusPublished - Dec 1 2006
Externally publishedYes
Event8th IASTED International Conference on Signal and Image Processing, SIP 2006 and the 10th IASTED International Conference on Internet and Multimedia Systems and Applications, IMSA 2006 - Honolulu, HI, United States
Duration: Aug 14 2006Aug 16 2006

Other

Other8th IASTED International Conference on Signal and Image Processing, SIP 2006 and the 10th IASTED International Conference on Internet and Multimedia Systems and Applications, IMSA 2006
CountryUnited States
CityHonolulu, HI
Period8/14/068/16/06

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All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Oyama, W., Shridhar, M., & Watta, P. (2006). Facial feature extraction using gradient features and MQDF matching. In Proceedings of the 8th IASTED International Conference on Signal and Image Processing, SIP 2006 (pp. 329-334)