Cosmetic face reconstruction based on Morphable model and Principal Component Analysis technique / Nur Syahirah Rahim
Face reconstruction has passed through many phases and challenges over the years. Cosmetic face reconstruction or plastic surgery is one type of face reconstruction. It is a process of recreating the face of an individual by reconstructing a new face model. This research is focus on cosmetic face re...
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my.uitm.ir.692112022-10-26T09:11:47Z https://ir.uitm.edu.my/id/eprint/69211/ Cosmetic face reconstruction based on Morphable model and Principal Component Analysis technique / Nur Syahirah Rahim Rahim, Nur Syahirah Multivariate analysis. Cluster analysis. Longitudinal method Regression analysis. Correlation analysis. Spatial analysis (Statistics) Path analysis. Structural equation modeling Factor analysis. Principal components analysis. Correspondence analysis Instruments and machines Electronic Computers. Computer Science Neural networks (Computer science) Aromatic compounds Face reconstruction has passed through many phases and challenges over the years. Cosmetic face reconstruction or plastic surgery is one type of face reconstruction. It is a process of recreating the face of an individual by reconstructing a new face model. This research is focus on cosmetic face reconstruction to improve or change the physical appearance which is the face of human being. It involves medical and image processing area, such as artistry, forensic science, anatomy, anthropology and osteology. The purpose of cosmetic face reconstruction is to help people in need of reconstructing or remodeling their faces by using a suitable technique. For this project, the reconstruction is based on Morphable model and Principal Component Analysis (PCA) technique. Morphable model is used because the characteristic of Morphable model that is easy to control the complex facial attributes of the image. PCA is feature construction or extraction and data representation technique that is widely used in computer vision, image processing and pattern recognition. PCA can efficiently represent images of human faces and furthermore, the PCA technique can reduce the dimensionality of the large data and bring out strong patterns in a data set while remains most of the variance which is important to the reconstruction of the face model. The result is evaluated by measuring the accuracy of the reconstructed images. 2017-01 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/69211/1/69211.pdf Cosmetic face reconstruction based on Morphable model and Principal Component Analysis technique / Nur Syahirah Rahim. (2017) Degree thesis, thesis, Universiti Teknologi MARA, Terengganu. |
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Multivariate analysis. Cluster analysis. Longitudinal method Regression analysis. Correlation analysis. Spatial analysis (Statistics) Path analysis. Structural equation modeling Factor analysis. Principal components analysis. Correspondence analysis Instruments and machines Electronic Computers. Computer Science Neural networks (Computer science) Aromatic compounds |
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Multivariate analysis. Cluster analysis. Longitudinal method Regression analysis. Correlation analysis. Spatial analysis (Statistics) Path analysis. Structural equation modeling Factor analysis. Principal components analysis. Correspondence analysis Instruments and machines Electronic Computers. Computer Science Neural networks (Computer science) Aromatic compounds Rahim, Nur Syahirah Cosmetic face reconstruction based on Morphable model and Principal Component Analysis technique / Nur Syahirah Rahim |
| description |
Face reconstruction has passed through many phases and challenges over the years. Cosmetic face reconstruction or plastic surgery is one type of face reconstruction. It is a process of recreating the face of an individual by reconstructing a new face model. This research is focus on cosmetic face reconstruction to improve or change the physical appearance which is the face of human being. It involves medical and image processing area, such as artistry, forensic science, anatomy, anthropology and osteology. The purpose of cosmetic face reconstruction is to help people in need of reconstructing or remodeling their faces by using a suitable technique. For this project, the reconstruction is based on Morphable model and Principal Component Analysis (PCA) technique. Morphable model is used because the characteristic of Morphable model that is easy to control the complex facial attributes of the image. PCA is feature construction or extraction and data representation technique that is widely used in computer vision, image processing and pattern recognition. PCA can efficiently represent images of human faces and furthermore, the PCA technique can reduce the dimensionality of the large data and bring out strong patterns in a data set while remains most of the variance which is important to the reconstruction of the face model. The result is evaluated by measuring the accuracy of the reconstructed images. |
| format |
Thesis |
| author |
Rahim, Nur Syahirah |
| author_facet |
Rahim, Nur Syahirah |
| author_sort |
Rahim, Nur Syahirah |
| title |
Cosmetic face reconstruction based on Morphable model and Principal Component Analysis technique / Nur Syahirah Rahim |
| title_short |
Cosmetic face reconstruction based on Morphable model and Principal Component Analysis technique / Nur Syahirah Rahim |
| title_full |
Cosmetic face reconstruction based on Morphable model and Principal Component Analysis technique / Nur Syahirah Rahim |
| title_fullStr |
Cosmetic face reconstruction based on Morphable model and Principal Component Analysis technique / Nur Syahirah Rahim |
| title_full_unstemmed |
Cosmetic face reconstruction based on Morphable model and Principal Component Analysis technique / Nur Syahirah Rahim |
| title_sort |
cosmetic face reconstruction based on morphable model and principal component analysis technique / nur syahirah rahim |
| publishDate |
2017 |
| url |
https://ir.uitm.edu.my/id/eprint/69211/1/69211.pdf https://ir.uitm.edu.my/id/eprint/69211/ |
| _version_ |
1748183950871756800 |
| score |
13.211869 |