Neural Network-Based Face 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
Proceedings of the conference on Design, automation and test in Europe
Training Support Vector Machines: an Application to Face Detection
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
A vision chip for color segmentation and pattern matching
EURASIP Journal on Applied Signal Processing
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Neural Networks
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A pixel-parallel self-similitude computation architecture has been developed for multiple-resolution directional edge filtering based on focal-plane image processing. The self-similitude organization has enabled pixel-by-pixel multiple-resolution image filtering with minimal complexity in interconnects. As a result, it has become possible to accomplish any (1/2)n-resolution directional edge filtering in (n + 2) steps. An analog edge-filtering chip implemented using a switched floating-gate MOS (neuMOS) technology that is capable of performing four-directional edge filtering at full, half, and quarter resolutions was designed and fabricated in a 0.35-µm 3-metal CMOS technology. The concept has been experimentally verified using the fabricated chip, and the four-directional edge filtering at full, half, and quarter resolutions was demonstrated by measurement.