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IJCV
2006
115views more  IJCV 2006»
14 years 9 months ago
Object Recognition as Many-to-Many Feature Matching
Object recognition can be formulated as matching image features to model features. When recognition is exemplar-based, feature correspondence is one-to-one. However, segmentation e...
M. Fatih Demirci, Ali Shokoufandeh, Yakov Keselman...
ICIP
2003
IEEE
15 years 11 months ago
Classification of textures seen from different distances and under varying illumination direction
Changes in the angle of illumination incident upon a 3D surface texture can significantly alter its appearance, implying variations in the image texture. These texture variations ...
Xavier Lladó, Joan Martí, Maria Petr...
ICMLA
2007
14 years 11 months ago
Scalable optimal linear representation for face and object recognition
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
Yiming Wu, Xiuwen Liu, Washington Mio
IJON
2008
121views more  IJON 2008»
14 years 9 months ago
Locality sensitive semi-supervised feature selection
In many computer vision tasks like face recognition and image retrieval, one is often confronted with high-dimensional data. Procedures that are analytically or computationally ma...
Jidong Zhao, Ke Lu, Xiaofei He
ICAPR
2009
Springer
15 years 2 months ago
Eigen-domain Relighting of Face Images for Illumination-invariant Face Verification
In this paper, we propose a method to exploit the uniqueness in the illumination variations on the face image of a subject for face verification. Using the 3D wireframe model of a...
Vinod Pathangay, Sukhendu Das