The Gaussian scale-space paradigm and the multiscale local jet
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face recognition by elastic bunch graph matching
Intelligent biometric techniques in fingerprint and face recognition
Face Recognition Based on Multiple Facial Features
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Hierarchical Wavelet Networks for Facial Feature Localization
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Information Theory, Inference & Learning Algorithms
Information Theory, Inference & Learning Algorithms
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
An Algorithm for Real Time Eye Detection in Face Images
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
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A novel technique for facial feature detection in images of frontal faces is presented. We use a set of Gabor wavelet coefficients in different orientations and frequencies to analyze and describe facial features. However, due to the lack of sufficient local structures for describing facial features, Gabor wavelets can not perfectly capture the wide range of possible variations in the appearance of facial features, and thus can give many false positive (and sometimes false negative) responses. We show that the performance of such a feature detector can be significantly improved by using the local entropy of features. Complex regions in a face image, such as the eye, exhibit unpredictable local intensity and hence high entropy. Our method is robust against image rotation, varying brightness, varying contrast and a certain amount of scaling.