Face Recognition: The Problem of Compensating for Changes in Illumination Direction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Example-Based Learning for View-Based Human Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Fast and Accurate Face Detector Based on Neural Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face detection using multimodal density models
Computer Vision and Image Understanding
Training Support Vector Machines: an Application to Face Detection
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
A Bayesian discriminating features method for face detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Image Processing
Particle swarm optimization based AdaBoost for face detection
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Plant texture classification using gabor co-occurrences
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
An implementation of SVM-based gaze recognition system using advanced eye region detection
ICCSA'11 Proceedings of the 2011 international conference on Computational science and Its applications - Volume Part V
A sub-block-based eigenphases algorithm with optimum sub-block size
Knowledge-Based Systems
Fusing magnitude and phase features for robust face recognition
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
Expert Systems with Applications: An International Journal
Combining texture and stereo disparity cues for real-time face detection
Image Communication
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In this paper, we present a classification-based face detection method using Gabor filter features. Taking advantage of the desirable characteristics of spatial locality and orientation selectivity of Gabor filters, we design four filters corresponding to four orientations for extracting facial features from local images in sliding windows. The feature vector based on Gabor filters is used as the input of the face/non-face classifier, which is a polynomial neural network (PNN) on a reduced feature subspace learned by principal component analysis (PCA). The effectiveness of the proposed method is demonstrated by experiments on a large number of images. We show that using both of the magnitude and phase of Gabor filter response as features, the detection performance is better than that using magnitude only, and using the real part only also performs fairly well. Our detection performance is competitive with those reported in the literature.