ARTiFACIAL: automated reverse turing test using FACIAL features
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Providing the basis for human-robot-interaction: a multi-modal attention system for a mobile robot
Proceedings of the 5th international conference on Multimodal interfaces
A robust method for detecting arbitrarily tilted human faces in color images
Pattern Recognition Letters
3D object porototype-based recognition from 2D images using features net
ISCGAV'05 Proceedings of the 5th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
Feature-centric evaluation for efficient cascaded object detection
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
On efficient multi-angle face prototype collection
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Automatic initialization for 3D soccer player tracking
Pattern Recognition Letters
A joint system for person tracking and face detection
ICCV'05 Proceedings of the 2005 international conference on Computer Vision in Human-Computer Interaction
Characters or faces: a user study on ease of use for HIPs
HIP'05 Proceedings of the Second international conference on Human Interactive Proofs
Fast Human Pose Detection Using Randomized Hierarchical Cascades of Rejectors
International Journal of Computer Vision
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In this paper, we present a detector-pyramid architecture for real-time multi-view face detection. Using a coarse to fine strategy, the full view is partitioned into finer and finer views. Each face detector in the pyramid detects faces of its respective view range. Its training is performed by using a new meta booting learning algorithm. This results in the first real-time multi-view face detection system which runs at 5 frames per second for 320x240 image sequence.