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» New Feature Extraction Approaches for Face Recognition
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SGAI
2004
Springer
15 years 12 months ago
Interactive Selection of Visual Features through Reinforcement Learning
We introduce a new class of Reinforcement Learning algorithms designed to operate in perceptual spaces containing images. They work by classifying the percepts using a computer vi...
Sébastien Jodogne, Justus H. Piater
IJON
2007
124views more  IJON 2007»
15 years 6 months ago
Palmprint recognition with 2DPCA+PCA based on modular neural networks
In this letter, a novel modular neural network (MNN) classifier, which partitions a K-class problem into many much easier two-class problems in sub-subspaces, was proposed to per...
Zhong-Qiu Zhao, De-Shuang Huang, Wei Jia
ICASSP
2010
IEEE
15 years 5 months ago
An alternative scanning strategy to detect faces
The sliding window approach is the most widely used technique to detect faces in an image. Usually a classifier is applied on a regular grid and to speed up the scanning, the gri...
Venkatesh Bala Subburaman, Sébastien Marcel
CVPR
2001
IEEE
16 years 8 months ago
Rapid Object Detection using a Boosted Cascade of Simple Features
This paper describes a machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection rates. This wor...
Paul A. Viola, Michael J. Jones
VIP
2003
15 years 8 months ago
Tracking Using CamShift Algorithm and Multiple Quantized Feature Spaces
The Continuously Adaptive Mean Shift Algorithm (CamShift) is an adaptation of the Mean Shift algorithm for object tracking that is intended as a step towards head and face trackin...
John G. Allen, Richard Y. D. Xu, Jesse S. Jin