Zobrazeno 1 - 10
of 22
pro vyhledávání: '"M. Karthigayan"'
Publikováno v:
Affective Computing
Human being possesses an ability of communication through facial emotions in day to day interactions with others. Some study in perceiving facial emotions has fascinated the human computer interaction environments. In recent years, there has been a g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::858d742e57c10b3e1b45709fadd64972
http://www.intechopen.com/articles/show/title/genetic_algorithm_and_neural_network_for_face_emotion_recognition
http://www.intechopen.com/articles/show/title/genetic_algorithm_and_neural_network_for_face_emotion_recognition
Autor:
Mohd Rizon Mohamed Juhari, Mohd Rozailan Mamat, R. Nagarajan, Masanori Sugisaka, Sazali Yaacob, M. Karthigayan, Hazry Desa
Publikováno v:
Artificial Life and Robotics. 11:197-203
In this article, two subjects, one South East Asian (SEA) and the other Japanese, are considered for face emotion recognition using a genetic algorithm (GA). The parameters relating the face emotions in each case are entirely different. All six unive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2bcbbfbda228ccaf0d566640ac26e569
https://doi.org/10.1007/s10015-007-0428-x
https://doi.org/10.1007/s10015-007-0428-x
Publikováno v:
Iraqi Journal for Electrical And Electronic Engineering. 2:7-18
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14fac628550e4a16c9543f2243b5b9ab
https://doi.org/10.33762/eeej.2006.55331
https://doi.org/10.33762/eeej.2006.55331
Autor:
M. Karthigayan, Paulraj Pandian, R. Nagarajan, Marzuki Khalid, Sazali Yaacob, Shamsudin H. M. Amin
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 34:926-932
In this paper, a real time industrial machine vision system incorporating optical character recognition (OCR) is employed to inspect markings on integrated circuit (IC) chips. This inspection is carried out while the ICs are coming out from the manuf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac356372c155921b1884578d2a2831f6
https://doi.org/10.1007/s00170-006-0669-1
https://doi.org/10.1007/s00170-006-0669-1
Autor:
Muhammad Firdaus Hashim, Abdul Rahman Mohd Saad, Hazri Desa, Mohamed Rizon, Jalan Kangar-Arau, Teluk Kalong, Sazali Yaacob, M. Karthigayan, Puteh Saad, Ali Yeon
Publikováno v:
American Journal of Applied Sciences. 3:1872-1875
In this study, we develop a computational model to identify the face of an unknown person's by applying eigenfaces. The eigenfaces has been applied to extract the basic face of the human face images. The eigenfaces is then projecting onto human faces
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7edd0df1ce4a665a34d1981e639088a
https://doi.org/10.3844/ajassp.2006.1872.1875
https://doi.org/10.3844/ajassp.2006.1872.1875
Autor:
Mohamed Rizon, Masanori Sugisaka, Saad Puteh, Md Shakaff Ali Yeon, M. Karthigayan, Yaacob Sazali, Mamat Mohd Rozailan, Yazid Haniza, Saad Abdul Rahman
Publikováno v:
American Journal of Applied Sciences. 2:1606-1609
In this study we propose a new system to detect the object from an input image. The proposed system first uses the separability filter proposed by Fukui and Yamaguchi (Trans. IEICE Japan J80-D-II. 8, 2170-2177, 1997) to obtain the best object candida
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b73569fd0625d12cc0227f3e63d46d6
https://doi.org/10.3844/ajassp.2005.1606.1609
https://doi.org/10.3844/ajassp.2005.1606.1609
Autor:
Mohamed Rizon, Jalan Kangar-Arau, Abdul Rahman Mohd Saad, Hazri Desa, Ali Yeon, Haniza Yazid, Teluk Kalong, Sazali Yaacob, Puteh Saad, M. Karthigayan
Publikováno v:
American Journal of Applied Sciences. 3:1876-1878
Geometric moment invariant produces a set of feature vectors that are invariant under shifting, scaling and rotation. The technique is widely used to extract the global features for pattern recognition due to its discrimination power and robustness.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64666147c0ce283f2dbe3480205b5160
https://doi.org/10.3844/ajassp.2006.1876.1878
https://doi.org/10.3844/ajassp.2006.1876.1878
Publikováno v:
2009 Second International Conference in Visualisation.
In this paper, lip and eye features are applied to classify the human emotion through a set of irregular and regular ellipse fitting equations using Genetic algorithm (GA). South East Asian face is considered in this study. All six universally accept
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c777946920ceb93293a1d59fc19d2e76
https://doi.org/10.1109/viz.2009.54
https://doi.org/10.1109/viz.2009.54
Publikováno v:
IIH-MSP
In this paper, lip and eye features are applied to classify the human emotion through a set of irregular and regular ellipse fitting equations using Genetic algorithm (GA). South East Asian face is considered in this study. All six universally accept
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50b11a26b67633ec4cd2c4ae09bc193a
https://doi.org/10.1109/iih-msp.2007.241
https://doi.org/10.1109/iih-msp.2007.241
Publikováno v:
Geometric Modeling and Imaging (GMAI '07).
In this paper, lip features are applied to classify the human emotion using a set of irregular ellipse fitting equations using Genetic algorithm. As Japanese, is considered in this study. All six universally accepted emotions are considered for class
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e43c114797f13473c17ef199b7ebc2bb
https://doi.org/10.1109/gmai.2007.24
https://doi.org/10.1109/gmai.2007.24