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Based on the static gray image expression database, a recognition algorithm is given by using multiple facial expression features to construct multi-classifier. Aiming to improving speed of extracting features, features of expression that are extracted by local Gabor wavelet transformation on the selected facial landmark are used to constructing facial elastic templates. Geometric features and Fisherfaces...
This paper presents an improved Appearance-based Average Face Difference (AAFD) scheme for face gender recognition with a low resolution and non-align thumbnail image. The main problem of the former appearance-based approaches is that not all the information is equally important in a face sub-window. Some regions in a face sub-window may have similar feature for both male and female, and some regions...
This paper proposed how to recognize face image using learning classifier. The main idea of SVM is to give an optimal hyper-plane for two categories classification issues. The max value of k decision functions is used to decide sample data x belong to which class. Experimental result shows that the proposed face recognition algorithm is effective.
Patch-based approaches have become popular in many computer vision applications over recent years. An intrinsic flaw of this framework, missing of the spatial information, however, restricts its usage in face related applications where the spatial configuration is relatively settled. In this paper, we introduce a new patch feature representation, namely spatial Gaussian mixture models (SGMM), which...
Support vector machine (SVM) provides high performance in generalization, processing small samples, and tackling high-dimensional data. Based on the advantages of SVM, an approach is proposed in this paper, adopting multi-class SVM to realize face recognition. In the approach, principle component analysis (PCA) is used firstly to reduce dimensions so that feature extraction is carried out on face...
Gender classification is one of the most challenging problems in the field of pattern recognition. The pixel-based gray image recognition method is quite sensitive to illumination variation and has high dimensions for computation. PCA-based image feature recognition algorithm can reduce the image dimension, but it is only on the basis of optimal entropy to choose face features which neglects the different...
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