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AAAI
2006
13 years 9 months ago
Bayesian Network Based Reparameterization of Haar-like Feature
Object detection using Haar-like features is formulated as a maximum likelihood estimation. Object features are described by an arbitrary Bayesian Network (BN) of Haar-like featur...
Hirotaka Niitsuma
ICB
2007
Springer
683views Biometrics» more  ICB 2007»
14 years 1 months ago
Face Detection Based on Multi-Block LBP Representation
Effective and real-time face detection has been made possible by using the method of rectangle Haar-like features with AdaBoost learning since Viola and Jones’ work [12]. In this...
Lun Zhang, Rufeng Chu, Shiming Xiang, ShengCai Lia...
ACCV
2007
Springer
14 years 1 months ago
A Theoretical Approach to Construct Highly Discriminative Features with Application in AdaBoost
AdaBoost is a practical method of real-time face detection, but abides by a crucial problem of overfitting for the big number of features used in a trained classifier due to the ...
Yuxin Jin, Linmi Tao, Guangyou Xu, Yuxin Peng
ICPR
2008
IEEE
14 years 2 months ago
GA based feature generation for training cascade object detector
Viola et al. have introduced a fast object detection scheme based on a boosted cascade of haar-like features. In this paper, we introduce a novel ternary feature that enriches the...
Qian Chen, Haiyuan Wu, Toshikazu Wada, Kazuyuki Ma...
ICPR
2008
IEEE
14 years 2 months ago
Face image retrieval by using Haar features
We propose a new method to retrieve similar face images from large face databases. The proposed method extracts a set of Haar-like features, and integrates these features with sup...
Bau-Cheng Shen, Chu-Song Chen, Hui-Huang Hsu