Coding facial expressions with Gabor wavelets
Research Organization of Information and Systems · Advanced Telecommunications Research Institute International · +2 more institutions
Abstract
A method for extracting information about facial expressions from images is presented. Facial expression images are coded using a multi-orientation multi-resolution set of Gabor filters which are topographically ordered and aligned approximately with the face. The similarity space derived from this representation is compared with one derived from semantic ratings of the images by human observers. The results show that it is possible to construct a facial expression classifier with Gabor coding of the facial images as the input stage. The Gabor representation shows a significant degree of psychological plausibility, a design feature which may be important for human-computer interfaces.
Citation impact
- FWCI
- 17.46
- Percentile
- 100%
- References
- 19
Authors
4Topics & keywords
- Gabor wavelet
- Artificial intelligence
- Pattern recognition (psychology)
- Facial expression
- Computer science
- Facial Action Coding System
- Computer vision
- Classifier (UML)