Abstract Views :389 |
PDF Views:5
Authors
Affiliations
1 Department of Computer Science and Engineering, Aarupadai Veedu Institute of Technology, Vinayaka Missions University, Rajiv Gandhi Salai,(OMR), Paiyanoor 603104, Kancheepuram District, Tamilnadu, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 6, No 7 (2014), Pagination: 274-277
Abstract
In this paper we present a system that automatically generates 3D face model from a single frontal image of a face with a generic 3D model. Our system consists of three components. The first component detects features such as eyes, mouth, eyebrows and facial contour. After detecting the second component is automatically adjusted.
The general model of 3D face model in 3D using special geometric transformations. Once the model is almost six basic facial expressions are generated using MPEG - 4 facial animation parameters (SPF). To generate transitions between these facial expressions we use 3D shape morphing between the corresponding face models and textures blending relevant. Our system has the advantage that it is fully automatic powerful and fast. It can be used in a variety of applications from depth is not critical, such as games, avatars, etc. Our results show facial recognition system accuracy Morphing. We have tested and evaluated using a database bu-3DFE.
Keywords
Generic 3d Model, Morphing, Animation, Texture etc.
