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ISNN
2007
Springer
15 years 3 months ago
Two-Dimensional Bayesian Subspace Analysis for Face Recognition
Bayesian subspace analysis (BSA) has been successfully applied in data mining and pattern recognition. However, due to the use of probabilistic measure of similarity, it often need...
Daoqiang Zhang
ICPR
2008
IEEE
15 years 4 months ago
A 2D model for face superresolution
Traditional face superresolution methods treat face images as 1D vectors and apply PCA on the set of these 1D vectors to learn the face subspace. Zhang et al [7] proposed Two-dire...
B. G. Vijay Kumar, Rangarajan Aravind
TCSV
2008
156views more  TCSV 2008»
14 years 9 months ago
Robust Lossless Image Data Hiding Designed for Semi-Fragile Image Authentication
Recently, among various data hiding techniques, a new subset, lossless data hiding, has received increasing interest. Most of the existing lossless data hiding algorithms are, howe...
Zhicheng Ni, Yun Q. Shi, Nirwan Ansari, Wei Su, Qi...
ICPR
2010
IEEE
15 years 4 months ago
Eigenbubbles: An Enhanced Apparent BRDF Representation
In this paper we address the problem of relighting faces in presence of cast shadows and specularities. We present a solution to this problem by capturing the spatially varying Ap...
Ritwik Kumar, Vemuri Baba, Arunava Banerjee
AMFG
2005
IEEE
314views Biometrics» more  AMFG 2005»
15 years 3 months ago
Two-Dimensional Non-negative Matrix Factorization for Face Representation and Recognition
Non-negative matrix factorization (NMF) is a recently developed method for finding parts-based representation of non-negative data such as face images. Although it has successfully...
Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou