Learning Gender with Support Faces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Saliency, Scale and Image Description
International Journal of Computer Vision
Gender and Ethnic Classification of Face Images
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
A Unified Learning Framework for Real Time Face Detection and Classification
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Selection of Scale-Invariant Parts for Object Class Recognition
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Spatial Priors for Part-Based Recognition Using Statistical Models
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Discovering Objects and their Localization in Images
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Boosting Sex Identification Performance
International Journal of Computer Vision
Towards Multi-View Object Class Detection
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Appearance-based gender classification with Gaussian processes
Pattern Recognition Letters
Detection Over Viewpoint via the Object Class Invariant
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
An Experimental Study on Automatic Face Gender Classification
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
International Journal of Computer Vision
Journal of Cognitive Neuroscience
Multi-scale phase-based local features
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Sparse flexible models of local features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
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We present the first framework for detecting, localizing and classifying visual traits of object classes, e.g. gender or age of human faces, from arbitrary viewpoints. We embed all three tasks in a viewpoint-invariant model derived from local scale-invariant features (e.g. SIFT), where features are probabilistically quantified in terms of their occurrence, appearance, geometry and relationship to visual traits of interest. An appearance model is first learned for the object class, after which a Bayesian classifier is trained to identify the model features indicative of visual traits. The advantage of our framework is that it can be applied and evaluated in realistic scenarios, unlike other trait classification techniques that assume data that is single-viewpoint, pre-aligned and cropped from background distraction. Experimentation on the standard color FERET database shows our approach can automatically identify the visual cues in face images linked to the trait of gender. Combined detection, localization and gender classification error rates are a) 15% over a 180-degree range of face viewpoint and b) 13% in frontal faces, lower than other reported results.