Face Recognition Via GroupWise Registration Method
M. K, and P. A.S. International Journal on Recent and Innovation Trends in Computing and Communication, 3 (3):
1692--1695(March 2015)
DOI: 10.17762/ijritcc2321-8169.1503173
Abstract
One of the important research area in image processing is face recognition. We introduce a new framework for tackling face recognition problem. Here propose a new way technique of face recognition problem, which is formulated as group wise deformable image registration and feature matching. The main contributions of the proposed method is to suppresses image noise without reducing the image sharpness we will use Median filtering, Each pixel in a facial image is represented by an anatomical signature obtained from its corresponding most salient scale local region Based on the anatomical signature calculated from each pixel, a novel Markov random field based group wise registration framework is proposed to formulate the face recognition problem.
%0 Journal Article
%1 Jadhav_2015
%A K, Ms. Jadhav Radhika
%A A.S, Prof. Tamboli
%D 2015
%I Auricle Technologies, Pvt., Ltd.
%J International Journal on Recent and Innovation Trends in Computing and Communication
%K Face Local Markov binary field group pattern random recognition registration wise
%N 3
%P 1692--1695
%R 10.17762/ijritcc2321-8169.1503173
%T Face Recognition Via GroupWise Registration Method
%U http://dx.doi.org/10.17762/ijritcc2321-8169.1503173
%V 3
%X One of the important research area in image processing is face recognition. We introduce a new framework for tackling face recognition problem. Here propose a new way technique of face recognition problem, which is formulated as group wise deformable image registration and feature matching. The main contributions of the proposed method is to suppresses image noise without reducing the image sharpness we will use Median filtering, Each pixel in a facial image is represented by an anatomical signature obtained from its corresponding most salient scale local region Based on the anatomical signature calculated from each pixel, a novel Markov random field based group wise registration framework is proposed to formulate the face recognition problem.
@article{Jadhav_2015,
abstract = {One of the important research area in image processing is face recognition. We introduce a new framework for tackling face recognition problem. Here propose a new way technique of face recognition problem, which is formulated as group wise deformable image registration and feature matching. The main contributions of the proposed method is to suppresses image noise without reducing the image sharpness we will use Median filtering, Each pixel in a facial image is represented by an anatomical signature obtained from its corresponding most salient scale local region Based on the anatomical signature calculated from each pixel, a novel Markov random field based group wise registration framework is proposed to formulate the face recognition problem.},
added-at = {2015-08-13T08:41:04.000+0200},
author = {K, Ms. Jadhav Radhika and A.S, Prof. Tamboli},
biburl = {https://www.bibsonomy.org/bibtex/2a3c63f2607079539e5d78caf9feae27c/ijritcc},
doi = {10.17762/ijritcc2321-8169.1503173},
interhash = {5fb63a15cd8742f11e682d440f553653},
intrahash = {a3c63f2607079539e5d78caf9feae27c},
journal = {International Journal on Recent and Innovation Trends in Computing and Communication},
keywords = {Face Local Markov binary field group pattern random recognition registration wise},
month = {march},
number = 3,
pages = {1692--1695},
publisher = {Auricle Technologies, Pvt., Ltd.},
timestamp = {2015-08-13T08:41:04.000+0200},
title = {Face Recognition Via {GroupWise} Registration Method},
url = {http://dx.doi.org/10.17762/ijritcc2321-8169.1503173},
volume = 3,
year = 2015
}