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» New Features to Identify Computer Generated Images
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CVPR
2005
IEEE
16 years 3 months ago
Mercer Kernels for Object Recognition with Local Features
A new class of kernels for object recognition based on local image feature representations are introduced in this paper. These kernels satisfy the Mercer condition and incorporate...
Siwei Lyu
CVPR
2011
IEEE
1473views Computer Vision» more  CVPR 2011»
14 years 9 months ago
Object Recognition with Hierarchical Kernel Descriptors
Kernel descriptors provide a unified way to generate rich visual feature sets by turning pixel attributes into patch-level features, and yield impressive results on many object rec...
Liefeng Bo, Kevin Lai, Xiaofeng Ren and Dieter Fox
WWW
2007
ACM
16 years 2 months ago
Image annotation by hierarchical mapping of features
In this paper, we propose a novel approach of image annotation by constructing a hierarchical mapping between lowlevel visual features and text features utilizing the relations wi...
Qiankun Zhao, Prasenjit Mitra, C. Lee Giles
ICPR
2006
IEEE
16 years 2 months ago
Fast, Illumination Insensitive Face Detection Based on Multilinear Techniques and Curvature Features
This paper brings together two recent developments in image analysis. We consider a new mathematical framework that provides illumination invariant descriptors for face detection....
Christian Bauckhage, Thomas Käster
CVPR
2005
IEEE
16 years 3 months ago
A Generative Model of Human Hair for Hair Sketching
Human hair is a very complex visual pattern whose representation is rarely studied in the vision literature despite its important role in human recognition. In this paper, we prop...
Hong Chen, Song Chun Zhu