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» An Adaptive Sampling Method for Layered Depth Image
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CHI
2009
ACM
14 years 8 months ago
Wetpaint: scraping through multi-layered images
We introduce a technique for exploring multi-layered images by scraping arbitrary areas to determine meaningful relationships. Our system, called Wetpaint, uses perceptual depth c...
Hiroshi Ishii, Jürgen P. Schulze, Leonardo Bo...
CVPR
2005
IEEE
14 years 9 months ago
Object Class Recognition Using Multiple Layer Boosting with Heterogeneous Features
We combine local texture features (PCA-SIFT), global features (shape context), and spatial features within a single multi-layer AdaBoost model of object class recognition. The fir...
Wei Zhang 0002, Bing Yu, Gregory J. Zelinsky, Dimi...
ICIP
2003
IEEE
14 years 9 months ago
Highly scalable video compression with scalable motion coding
A scalable video coder cannot be equally efficient over a wide range of bit-rates unless both the video data and the motion information are scalable. We propose a wavelet-based, h...
Andrew Secker, David Taubman
ICPR
2008
IEEE
14 years 1 months ago
Layer-based binarization for textual images
We developed a binarization approach to handle a large variety of images, from scanned flatbed images to images acquired by mobile phone cameras. The binarization is targeted at c...
Yaakov Navon
FGR
2008
IEEE
153views Biometrics» more  FGR 2008»
14 years 1 months ago
Facial image analysis using local feature adaptation prior to learning
Many facial image analysis methods rely on learningbased techniques such as Adaboost or SVMs to project classifiers based on the selection of local image filters (e.g., Haar and...
Rogerio Feris, Ying-li Tian, Yun Zhai, Arun Hampap...