Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Genetic Model Optimization for Hausdorff Distance-Based Face Localization
ECCV '02 Proceedings of the International ECCV 2002 Workshop Copenhagen on Biometric Authentication
Robust Face Detection Using the Hausdorff Distance
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Object Recognition with Gradient-Based Learning
Shape, Contour and Grouping in Computer Vision
Rotation Invariant Neural Network-Based Face Detection
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Probabilistic Modeling of Local Appearance and Spatial Relationships for Object Recognition
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Learning and example selection for object and pattern detection
Learning and example selection for object and pattern detection
Robust Histogram Construction from Color Invariants for Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Convolutional Face Finder: A Neural Architecture for Fast and Robust Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Detection Using Combinations of Classifiers
CRV '05 Proceedings of the 2nd Canadian conference on Computer and Robot Vision
Fast rotation invariant multi-view face detection based on real adaboost
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Face detection with the modified census transform
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
Low-resolution face recognition: a review
The Visual Computer: International Journal of Computer Graphics
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Most face detection methods require high or medium resolution face images to attain satisfactory results. However, in many surveillance applications, where there is a need to image wide fields of view, faces cover just a few pixels, which makes their detection difficult. Despite its importance, little work has been aimed at providing reliable detection at these low resolutions. In this work, we study the relationship between resolution and the automatic face detection rate with the Modified Census Transform, one of the most successful algorithms for face detection presented to date, and propose a new Color Census Transform that provides significantly better results than the original when applied to low-resolution color images.