Abstract: The 3D Morphable models of the human face have prepared myriad of applications in computer vision, human computer interaction and security surveillances. However, due to the variation in size, complexity of training data set, the landmark mapping, the representation in real time and rendering or synthesis of images in three dimensional is limited. In this paper, we extend the approach of the photometric stereo and provide the human face reconstruction in three dimensional. The proposed method consists of two steps. First it automatically detects the face and segment the iris along with statistical features of pupil location in it. Secondly it provides the selection of minimum six features and where iris process to generate the 3D face. In compare with existing methods our approach provides the automation which produces more better and efficient results in contrast to the manual methods.

Muhammad Sajid Khan, Zabeeh Ullah, Maria Shahid Butt, Zohaib Arshad and Sobia Yousaf, “The Photometric Stereo Approach and the Visualization of 3D Face Reconstruction” International Journal of Advanced Computer Science and Applications(IJACSA), 10(2), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100229

@article{Khan2019,
title = {The Photometric Stereo Approach and the Visualization of 3D Face Reconstruction},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100229},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100229},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {2},
author = {Muhammad Sajid Khan and Zabeeh Ullah and Maria Shahid Butt and Zohaib Arshad and Sobia Yousaf}
}