Object and face detection is a very active research topic. Most of the current object detection systems use machine learning techniques like Gaussian Mixture Models [1], Support Vector Machines [2], Adaboost [3] or Neural Networks [4][5]. Some of them use a feature extractor in order to reduce the dimension of the face image space. In [1], face detection is performed using GMMs to extract face descriptors and a Multilayer Perceptron (MLP) to perform classification. In [3], the system performs fast object and face detection using Haar functions and machine learning based on the Adaboost method. Other methods use classifiers directly on image pixels. In [4], Rowley
Object detection with a minimal set of examples using convolutional PCA
MMSP 2009, IEEE International Workshop on Multimedia Signal Processing, October 5-7, 2009, Rio de Janeiro, Brazil
Type:
Conférence
City:
Rio de Janeiro
Date:
2009-10-05
Department:
Sécurité numérique
Eurecom Ref:
2920
Copyright:
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PERMALINK : https://www.eurecom.fr/publication/2920