Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Face Detection Using the Hausdorff Distance
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Learning iterative image reconstruction
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Eye localization for face matching: is it always useful and under what conditions?
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Eye localization in low and standard definition content with application to face matching
Computer Vision and Image Understanding
Hybrid method based on topography for robust detection of iris center and eye corners
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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One of the major parts in human-computer interface applications, such as face recognition and video-telephony, consists in the exact localization of a face in an image.Here, we propose to use hierarchical neural networks with local recurrent connectivity to solve this task, even in presence of complex backgrounds, difficult lighting, and noise. Our network is trained using a database of gray-scale still images and manually determined eye coordinates. It is able to produce reliable and accurate eye coordinates for unknown images by iteratively refining an initial solution.The performance of the proposed approach is evaluated against a large test set. The fast network update allows for real-time operation.