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ACIVS
2005
Springer
14 years 1 months ago
Object Recognition Using Local Characterisation and Zernike Moments
Abstract. Even if lots of object invariant descriptors have been proposed in the literature, putting them into practice in order to obtain a robust system face to several perturbat...
Anant Choksuriwong, Hélène Laurent, ...
IMCSIT
2010
13 years 5 months ago
The development features of the face recognition system
Nowadays personal identification is a very important issue. There is a wide range of applications in different spheres, such as video surveillance security systems, control of docu...
Rauf Sadykhov, Igor Frolov
WACV
2002
IEEE
14 years 22 days ago
An Experimental Evaluation of Linear and Kernel-Based Methods for Face Recognition
In this paper we present the results of a comparative study of linear and kernel-based methods for face recognition. The methods used for dimensionality reduction are Principal Co...
Himaanshu Gupta, Amit K. Agrawal, Tarun Pruthi, Ch...
ICCV
2007
IEEE
14 years 9 months ago
Proximity Distribution Kernels for Geometric Context in Category Recognition
We propose using the proximity distribution of vectorquantized local feature descriptors for object and category recognition. To this end, we introduce a novel "proximity dis...
Haibin Ling, Stefano Soatto
ICETET
2009
IEEE
13 years 5 months ago
Face Description with Local Invariant Features: Application to Face Recognition
A completely automatic face recognition system is presented. The method works on color face images and localizes the face region from them initially. It then determines and select...
Sanjay A. Pardeshi, S. N. Talbar