Feature extraction from faces using deformable templates
Abstract
A method for detecting and describing the features of faces using deformable templates is described. The feature of interest, an eye for example, is described by a parameterized template. An energy function is defined which links edges, peaks, and valleys in the image intensity to corresponding properties of the template. The template then interacts dynamically with the image, by altering its parameter values to minimize the energy function, thereby deforming itself to find the best fit. The final parameter values can be used as descriptors for the features. This method is demonstrated by showing deformable templates detecting eyes and mouths in real images.>
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Kimura and Yachida's face detection system requires the face to be without facial hair and glasses and in a direct face-to-face position with the camera.
“The face should be without facial hair and glasses and in a direct face-to-face position with the camera [99].”
From Automatic analysis of facial expressions: the state of the art (2000) · cites this paper as [99]
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- Authors
- Yuille, A. L., Cohen, D. S., & Hallinan, P. W.
- Affiliations
- Harvard University (US)
- ORCID
- Yuille, A.L.
- Venue
- Proceedings CVPR '89: IEEE Computer Society Conference on Computer Vision and Pattern Recognition
- Publisher
- IEEE Comput. Soc. Press
- Published
- 2003-01-07
- Pages
- 104-109
- ISSN
- 1063-6919 (ISSN-L)
- OpenAlex
- W2125848778
- Cited by
- 708
- References
- 21
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 4 · 2022: 1 · 2021: 5 · 2020: 3 · 2019: 8 · 2018: 7 · 2017: 8 · 2016: 6 · 2015: 22 · 2014: 17 · 2013: 27 · 2012: 33
- FWCI
- 34.96
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face and Expression Recognition
- Keywords
- deformable templates, facial feature extraction, eye detection, mouth detection, energy minimization, feature descriptors
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