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» A classifier design for detecting Image manipulations
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ICIP
2002
IEEE
14 years 9 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 9 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 9 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 11 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 8 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