A Computational Approach to Edge 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
Variance projection function and its application to eye detection for human face recognition
Pattern Recognition Letters
Face recognition by elastic bunch graph matching
Intelligent biometric techniques in fingerprint and face recognition
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
An Efficient Multimodal 2D-3D Hybrid Approach to Automatic Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A face recognition system based on Pseudo 2D HMM applied to neural network coefficients
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special issue on neural networks for pattern recognition and data mining
A robust method for nose detection under various conditions
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part I
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This paper presents an algorithm which detects automatically the feature points in a face image. This is a fundamental task in many applications, in particular in an automatic face recognition system. Starting from a frontal face image with a plain background we have effected an image segmentation to detect the different facial components (eyebrow, eyes, nose, mouth and chin). After this we have searched for the feature points of each face component. The algorithm has been tested on 320 face images taken from the Stirling University Face Database [10]. The points extracted in this way have been used in a face recognition algorithm based on the Hough transform.