Computer Vision and Image Understanding - Special issue on eye detection and tracking
Meticulously Detailed Eye Region Model and Its Application to Analysis of Facial Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
An improved likelihood model for eye tracking
Computer Vision and Image Understanding
Computer Vision and Image Understanding - Special issue on eye detection and tracking
A new approach to face localization in the HSV space using the Gaussian model
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Multi-scale keypoints in v1 and face detection
BVAI'05 Proceedings of the First international conference on Brain, Vision, and Artificial Intelligence
Comparative evaluation of linear edge detection methods
Pattern Recognition and Image Analysis
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In this contribution we introduce a method for the automatic detection of facial features and characteristic anatomical keypoints. In the application we are aiming at the anatomical landmarks are used to accurately measure facial features. Our approach is essentially based on a selective search and sequential tracking of characteristic edge and line structures of the facial object to be searched. It integrates model knowledge to guarantee a consistent interpretation of the abundance of local features. The search and the tracking is controlled in each step by interpreting the already derived edge and line information in the context of the whole considered region. For our application, the edge and line detection has to be very precise and flexible. Therefore, we apply a powerful filtering scheme based on steerable filters.