Invariant Descriptors for 3D Object Recognition and Pose
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part I
Feature extraction from faces using deformable templates
International Journal of Computer Vision
3D object recognition using invariance
Artificial Intelligence - Special volume on computer vision
The Illumination-Invariant Recognition of 3D Objects Using Local Color Invariants
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using photometric invariants for 3D object recognition
Computer Vision and Image Understanding
Semi-Naive Bayesian Classifier
EWSL '91 Proceedings of the European Working Session on Machine Learning
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This paper presents the template matching and efficient cascaded object detection. The proposed template matching method is superior to previous face detection. Furthermore, the proposed cascade method has some merits to the face changes. Thus, we can detect the object effectively and this can inevitably lead to the Ubiquitous Computing Environment. We also expand the more detection algorithms through this method.