Algorithms and Techniques used for 3D Face Recognition in the Presence of Expressions and Occlusion (ATFRPEO)
T. G., and A. R.. International Journal of Innovative Science and Modern Engineering (IJISME), 2 (1):
33-38(December 2013)
Abstract
The purpose of this study is to enhance the algorithms towards the development of an efficient three dimensional face recognition system in the presence of expressions as well as for occluded face. The overall aim is to analyze patterns of expressions based on techniques relating to feature distances and also to segment the human face into non-occluded and occluded part of the occluded human face image. Here we are using two steps the first step is to recognize the face in different patterns of expressions and the second step is recognizing the occluded face. The first process can be obtained by using Euclidean distances, geodesic distances and regression models. And the second process is obtained by using Mean Based Weight Matrix (MBWM) algorithm.
%0 Journal Article
%1 noauthororeditor
%A G., Thippeswamy
%A R., Ambika G.N Vidya
%D 2013
%E Kumar, Dr. Shiv
%J International Journal of Innovative Science and Modern Engineering (IJISME)
%K Analysis Distances Expressions Face Feature LBP MBWM Recognition Regression SLBM machine occlusion support vector
%N 1
%P 33-38
%T Algorithms and Techniques used for 3D Face Recognition in the Presence of Expressions and Occlusion (ATFRPEO)
%U https://www.ijisme.org/wp-content/uploads/papers/v2i1/A0559122113.pdf
%V 2
%X The purpose of this study is to enhance the algorithms towards the development of an efficient three dimensional face recognition system in the presence of expressions as well as for occluded face. The overall aim is to analyze patterns of expressions based on techniques relating to feature distances and also to segment the human face into non-occluded and occluded part of the occluded human face image. Here we are using two steps the first step is to recognize the face in different patterns of expressions and the second step is recognizing the occluded face. The first process can be obtained by using Euclidean distances, geodesic distances and regression models. And the second process is obtained by using Mean Based Weight Matrix (MBWM) algorithm.
@article{noauthororeditor,
abstract = {The purpose of this study is to enhance the algorithms towards the development of an efficient three dimensional face recognition system in the presence of expressions as well as for occluded face. The overall aim is to analyze patterns of expressions based on techniques relating to feature distances and also to segment the human face into non-occluded and occluded part of the occluded human face image. Here we are using two steps the first step is to recognize the face in different patterns of expressions and the second step is recognizing the occluded face. The first process can be obtained by using Euclidean distances, geodesic distances and regression models. And the second process is obtained by using Mean Based Weight Matrix (MBWM) algorithm.},
added-at = {2021-09-21T11:37:08.000+0200},
author = {G., Thippeswamy and R., Ambika G.N Vidya},
biburl = {https://www.bibsonomy.org/bibtex/2594b3e00819dd2453a2f0fb7e5428064/ijisme_beiesp},
editor = {Kumar, Dr. Shiv},
interhash = {df8a6052bb45aa0e2b231654a6c9ba86},
intrahash = {594b3e00819dd2453a2f0fb7e5428064},
issn = {2319-6386},
journal = {International Journal of Innovative Science and Modern Engineering (IJISME)},
keywords = {Analysis Distances Expressions Face Feature LBP MBWM Recognition Regression SLBM machine occlusion support vector},
language = {En},
month = {December},
number = 1,
pages = {33-38},
timestamp = {2021-09-21T11:37:08.000+0200},
title = {Algorithms and Techniques used for 3D Face Recognition in the Presence of Expressions and Occlusion (ATFRPEO)},
url = {https://www.ijisme.org/wp-content/uploads/papers/v2i1/A0559122113.pdf},
volume = 2,
year = 2013
}