Research Article
Face Recognition Analysis Using 3D Model
@INPROCEEDINGS{10.1007/978-3-319-95450-9_19, author={Muhammad Khan and Muhammad Jehanzeb and Muhammad Babar and Shah Faisal and Zabeeh Ullah and Siti Amin}, title={Face Recognition Analysis Using 3D Model}, proceedings={Emerging Technologies in Computing. First International Conference, iCETiC 2018, London, UK, August 23--24, 2018, Proceedings}, proceedings_a={ICETIC}, year={2018}, month={7}, keywords={Reconstruction Recognition Morphable model 3D model}, doi={10.1007/978-3-319-95450-9_19} }- Muhammad Khan
Muhammad Jehanzeb
Muhammad Babar
Shah Faisal
Zabeeh Ullah
Siti Amin
Year: 2018
Face Recognition Analysis Using 3D Model
ICETIC
Springer
DOI: 10.1007/978-3-319-95450-9_19
Abstract
Facial Recognition is a commonly used technology in security-related applications. It has been thoroughly studied and scrutinized for its number of practical real-world applications. On the road ahead of understanding this technology, there remain several obstacles. In this paper, methods of 3D face recognition are examined by measuring quantifiable applications and results. In facial recognition, three Dimensional Morphable Model (3DMM) techniques have attracted more and more attention as effectiveness in use increases over time. 3DMM provides automation and more accurate image rendering when compared to other traditional techniques. The accuracy in image rendering comes at a cost; as 3DMM requires more focus on texture estimation, shape-controlling limits, and extrinsic variations, accurately matching fitting models, feature tracking and precision identification. We have underlined different issues in comparison based on these methods.