Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Example-Based Object Detection in Images by Components
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face detection by aggregated Bayesian network classifiers
Pattern Recognition Letters - In memory of Professor E.S. Gelsema
WACV '96 Proceedings of the 3rd IEEE Workshop on Applications of Computer Vision (WACV '96)
A General Framework for Object Detection
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Object Detection Using the Statistics of Parts
International Journal of Computer Vision
A Bayesian discriminating features method for face detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust eye detection method for varying environment using illuminant context-awareness
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Head gesture recognition using feature interpolation
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Context and profile based cascade classifier for efficient people detection and safety care system
Multimedia Tools and Applications
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We propose a method for an efficient frontal face detection using skin color, integrated feature space, and post processing. The proposed method reduces the search space by facial color information and detects face candidate windows by integrated feature space. The integrated feature space consists of intensity and texture information. Multiple Bayesian classifiers are employed for selection of face candidate windows on integrated feature space. And we use face and face-like nonface samples to training these Bayesian classifiers. Finally, face regions of the detected candidates are selected by merging and filtering post processing.