TY - GEN
T1 - Facial recognition, autonomous learning, based on image fragmentation
AU - Guacte, Danilo Daniel González
AU - Pizarro, Diego Alberto Aracena
N1 - Publisher Copyright:
© Copyright 2019 IADIS Press. All rights reserved.
PY - 2019
Y1 - 2019
N2 - This paper uses variations in the image fragmentation approach, considering the number of fragments, number of samples per person, number of hyperplanes and size in the region of interest. Computational vision techniques, in particular gradient histogram (HOG) as feature space descriptor, automatic learning methods, such as vector support machines (SVM) for model construction and a face detection algorithm, are used to replicate these experiments in a real time context. Tests are performed on a population of 40 people, samples taken in uncontrolled situations, in this way some states are discarded, refining the parameters until arriving at a configuration that complies with delivering the best results in this experiment and under these conditions.
AB - This paper uses variations in the image fragmentation approach, considering the number of fragments, number of samples per person, number of hyperplanes and size in the region of interest. Computational vision techniques, in particular gradient histogram (HOG) as feature space descriptor, automatic learning methods, such as vector support machines (SVM) for model construction and a face detection algorithm, are used to replicate these experiments in a real time context. Tests are performed on a population of 40 people, samples taken in uncontrolled situations, in this way some states are discarded, refining the parameters until arriving at a configuration that complies with delivering the best results in this experiment and under these conditions.
KW - Facial Recognition
KW - HOG
KW - Hyperplanes
KW - Image Fragmentation
KW - Region of Interest
KW - SVM
UR - https://www.scopus.com/pages/publications/85073119279
U2 - 10.33965/cgv2019_201906l037
DO - 10.33965/cgv2019_201906l037
M3 - Conference contribution
AN - SCOPUS:85073119279
T3 - Multi Conference on Computer Science and Information Systems, MCCSIS 2019 - Proceedings of the International Conferences on Interfaces and Human Computer Interaction 2019, Game and Entertainment Technologies 2019 and Computer Graphics, Visualization, Computer Vision and Image Processing 2019
SP - 299
EP - 306
BT - Multi Conference on Computer Science and Information Systems, MCCSIS 2019 - Proceedings of the International Conferences on Interfaces and Human Computer Interaction 2019, Game and Entertainment Technologies 2019 and Computer Graphics, Visualization, Computer Vision and Image Processing 2019
A2 - Blashki, Katherine
A2 - Xiao, Yingcai
A2 - Rodrigues, Luis
PB - IADIS Press
T2 - 13th International Conference on Interfaces and Human Computer Interaction 2019, IHCI 2019, 12th International Conference on Game and Entertainment Technologies 2019, GET 2019 and 13th International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing 2019, CGVCVIP 2019
Y2 - 16 July 2019 through 18 July 2019
ER -