EMPATH: face, emotion, and gender recognition using holons
NIPS-3 Proceedings of the 1990 conference on Advances in neural information processing systems 3
SexNet: A neural network identifies sex from human faces
NIPS-3 Proceedings of the 1990 conference on Advances in neural information processing systems 3
Characterization of Signals from Multiscale Edges
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Learning Gender with Support Faces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Pose Discrimination Using Support Vector Machines (SVM)
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
PCA for Gender Estimation: Which Eigenvectors Contribute?
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
On the Euclidean Distance of Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Appearance-based gender classification with Gaussian processes
Pattern Recognition Letters
Combination and optimization of classifiers in gender classification using genetic programming
International Journal of Knowledge-based and Intelligent Engineering Systems
Integrating independent components and linear discriminant analysis for gender classification
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
Gender recognition using a min-max modular support vector machine
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
Multi-view gender classification using local binary patterns and support vector machines
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Gender recognition using a min-max modular support vector machine with equal clustering
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Mixture of experts for classification of gender, ethnic origin, and pose of human faces
IEEE Transactions on Neural Networks
Gender identification using feature patch-based bayesian classifier
PSIVT'11 Proceedings of the 5th Pacific Rim conference on Advances in Image and Video Technology - Volume Part II
| Hi-index | 0.00 |
This paper proposes a novel framework for dealing with multi-view gender classification problems and shows its feasibility on the CAS-PEAL database of face images. The framework consists of three stages. First, wavelet transform is used to intensify multi-scale edges and remove effects of illumination and noises. Second, instead of traditional Euclidean distance, image Euclidean distance which considers the spatial relationships between pixels is used to measure the distance between images. Last, a two layer support vector machine is proposed, which divides face images into different poses in the first layer, and then recognizes the gender with different support vector machines in the second layer. Compared with traditional support vector machines and min-max modular network with support vector machines, our method achieves higher classification accuracy and spends less training and test time.