This paper demonstrates how different feature sets can be used to enhance discrimination for the purpose of face recognition. We have used geometrical features ...
We have used geometrical features and Gabor features in combination for face recognition. The geometrical features include distances, areas, fuzzy membership ...
Experimental results demonstrate that no feature set alone is sufficient for recognition but the Extended-Geometric feature vector yields an improved ...
Abstract. In automated face recognition, a human face can be described by several features, but very few of them are used in combination to improve dis-.
In facial expression analysis, two principle approaches to extract facial features are geometric feature- based methods and appearance-based methods such as ...
Jan 13, 2006 · We have used geometrical features and Gabor features in combination for face recognition. The geometrical features include distances, areas, ...
Combining Geometric and Gabor Features for Face Recognition. P. Hiremath, and A. Danti. ACCV (1), volume 3851 of Lecture Notes in Computer Science, page 140 ...
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This paper demonstrates how different feature sets can be used to enhance discrimination for the purpose of face recognition. We have used geometrical features ...
The upper half face region is mapped into 2D geometry image and then decomposed into wavelet responses by multi-scale Gabor transforms. According to analyses ...
We compare the two types of features used for recognition: geometric distances and Gabor coefficients which can be used either independently or jointly.