Contrast limited adaptive histogram equalization
Graphics gems IV
Learning Gender with Support Faces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Gender Classification of Human Faces
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
Gender and Ethnic Classification of Face Images
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Genetic Feature Subset Selection for Gender Classification: A Comparison Study
WACV '02 Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision
Boosting Sex Identification Performance
International Journal of Computer Vision
Evaluation of Gender Classification Methods with Automatically Detected and Aligned Faces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Heterogeneous Face Recognition from Local Structures of Normalized Appearance
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Enhanced local texture feature sets for face recognition under difficult lighting conditions
AMFG'07 Proceedings of the 3rd international conference on Analysis and modeling of faces and gestures
Cross-Spectral Face Verification in the Short Wave Infrared (SWIR) Band
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Heterogeneous Face Recognition: Matching NIR to Visible Light Images
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
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
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Properties and performance of a center/surround retinex
IEEE Transactions on Image Processing
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Gender classification based on facial images has received increased attention in the computer vision literature. Previous work on this topic has focused on images acquired in the visible spectrum (VIS). We explore the possibility of predicting gender from face images acquired in the near-infrared spectrum (NIR). In this regard, we address the following two questions: (a) Can gender be predicted from NIR face images; and (b) Can a gender predictor learned using VIS images operate successfully on NIR images and vice-versa? Our experimental results suggest that NIR face images do have some discriminatory information pertaining to gender, although the degree of discrimination is noticeably lower than that of VIS images. Further, the use of an illumination normalization routine may be essential for facilitating cross-spectral gender prediction.