Novel Architecture for 3D model in virtual communities from detected face

TL;DR

This paper presents a new method for creating personalized 3D avatars from facial images by extracting, modifying, and characterizing faces, demonstrating effective performance on diverse images.

Contribution

Introduces a novel architecture for generating 3D models in virtual communities from facial detection and modification techniques.

Findings

Effective extraction and modification of faces from images

Successful implementation on hundreds of images under various conditions

Satisfactory performance suitable for practical applications

Abstract

In this research paper we suggest how to extract a face from an image, modify it, characterize it in terms of high-level properties, and apply it to the creation of a personalized avatar. In this research work we tested, we implemented the algorithm on several hundred facial images, including many taken under uncontrolled acquisition conditions, and found to exhibit satisfactory performance for immediate practical use.