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» Image Analysis Through Local Information Measures
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ICMCS
2007
IEEE
223views Multimedia» more  ICMCS 2007»
13 years 11 months ago
An Effective Local Invariant Descriptor Combining Luminance and Color Information
Extraction of stable local invariant features is very important in many computer vision applications, such as image matching, object recognition and image retrieval. Most existing...
Dong Zhang, Weiqiang Wang, Wen Gao, Shuqiang Jiang
ICIP
2005
IEEE
14 years 6 months ago
Exploiting discriminant information in elastic graph matching
In this paper, we investigate the use of discriminant techniques in the elastic graph matching (EGM) algorithm. First we use discriminant analysis in the feature vectors of the no...
Stefanos Zafeiriou, Anastasios Tefas, Ioannis Pita...
ISBI
2009
IEEE
13 years 11 months ago
Image-Driven Population Analysis Through Mixture Modeling
—We present iCluster, a fast and efficient algorithm that clusters a set of images while co-registering them using a parameterized, nonlinear transformation model. The output of...
Mert R. Sabuncu
MM
2006
ACM
203views Multimedia» more  MM 2006»
13 years 10 months ago
Learning image manifolds by semantic subspace projection
In many image retrieval applications, the mapping between highlevel semantic concept and low-level features is obtained through a learning process. Traditional approaches often as...
Jie Yu, Qi Tian
13
Voted
ICIAR
2009
Springer
13 years 11 months ago
An Example-Based Two-Step Face Hallucination Method through Coefficient Learning
Face hallucination is to reconstruct a high-resolution face image from a low-resolution one based on a set of high- and low-resolution training image pairs. This paper proposes an ...
Xiang Ma, Junping Zhang, Chun Qi