Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{160301,
        author = {Ritik Chauhan and Rajesh Kumar Pathak and Mohit Singh},
        title = {Face Reconstruction},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {1},
        pages = {286-290},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=160301},
        abstract = {3D face reconstruction is a challenging problem and also an important task in the field and within the domain of computer vision and graphics. In the present time, most bulk of facial image data of interest does not come solely from single images but instead from videos, which encompass and contain a wealth of rich dynamic information.3D face shape is widely used in many areas, such as medical care, medical cosmetology, entertainment, and security. And it contributes to other fields such as face alignment, face recognition, and face editing. This paper is a review of 3D face reconstruction from videos.},
        keywords = {Face reconstruction, 3D, 2D, face recognition, face alignments},
        month = {},
        }