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» A classifier design for detecting Image manipulations
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ICIP
2002
IEEE
14 years 7 months ago
Face detection using coarse-to-fine support vector classifiers
We describe a new face detection algorithm based on a hierarchy of support vector classifiers (SVMs) designed for efficient computation. The hierarchy serves as a platform for a c...
Hichem Sahbi, Donald Geman, Nozha Boujemaa
ICIP
1998
IEEE
14 years 7 months ago
EXM Eigen Templates for Detecting and Classifying Arbitrary Junctions
A novel method for extracting parametric junction and corner features in images is presented. By treating each complex feature as a combination of elementary line and edge feature...
Dibyendu Nandy, Jezekiel Ben-Arie
CVPR
2007
IEEE
14 years 7 months ago
Joint Optimization of Cascaded Classifiers for Computer Aided Detection
The existing methods for offline training of cascade classifiers take a greedy search to optimize individual classifiers in the cascade, leading inefficient overall performance. W...
Murat Dundar, Jinbo Bi
ICASSP
2011
IEEE
12 years 9 months ago
Combining Haar Feature and skin color based classifiers for face detection
This paper presents a hybrid method for face detection in color images. The well known Haar feature-based face detector developed by Viola and Jones (VJ), that has been designed f...
Çigdem Eroglu Erdem, Sezer Ulukaya, Ali Kar...
ICPR
2002
IEEE
14 years 6 months ago
A Neural Network Classifier for Occluded Images
This paper proposes a neural network classifier which can automatically detect the occluded regions in the given image and replace that regions with the estimated values. An auto-...
Takio Kurita, Takashi Takahashi, Yukifumi Ikeda