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IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
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Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Histograms of Oriented Gradients for Human Detection
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MORPH: A Longitudinal Image Database of Normal Adult Age-Progression
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Local Visual Primitives (LVP) for Face Modelling and Recognition
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Automatic Age Estimation Based on Facial Aging Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Facial expression recognition based on Local Binary Patterns: A comprehensive study
Image and Vision Computing
Face Gender Classification on Consumer Images in a Multiethnic Environment
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Learned local Gabor patterns for face representation and recognition
Signal Processing
Web image mining towards universal age estimator
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Synchronized submanifold embedding for person-independent pose estimation and beyond
IEEE Transactions on Image Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning local features for age estimation on real-life faces
Proceedings of the 1st ACM international workshop on Multimodal pervasive video analysis
Age Synthesis and Estimation via Faces: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Human Age Estimation With Regression on Discriminative Aging Manifold
IEEE Transactions on Multimedia
Image-Based Human Age Estimation by Manifold Learning and Locally Adjusted Robust Regression
IEEE Transactions on Image Processing
Demographic classification with local binary patterns
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
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In this paper we propose to adopt a learning-based encoding method for age estimation under unconstrained imaging conditions. A similar approach [Cao et al., 2010] is applied to face recognition in real-life face images. However, the feature vectors are encoded in hard manner i.e. each feature vector is assigned to one code. The face is divided into patches where a code histogram is built for each patch. However, the codebook is learned using sample features from the entire face. Therefore, we propose an approach to extract robust and discriminative facial features and use soft encoding. Instead of learning a codebook from the entire face, we extract and learn multiple codebooks for individual face patches. The encoding is done by a weighting scheme in which each pixel is softly assigned to multiple candidate codes. Finally, orientation histogram of local gradients in neighborhood has been introduced as feature vector for code learning. On a large scale face dataset which contains 2744 real-life faces, the age group classification using our method achieves an absolute(relative) improvement of 3.6%(6.5%) over the best reported results [Shan, 2010].