A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Data-driven Approach to Human-body Cloning Using a Segmented Body Database
PG '07 Proceedings of the 15th Pacific Conference on Computer Graphics and Applications
Automated anthropometric data collection using 3D whole body scanners
Expert Systems with Applications: An International Journal
Motion generation from MTM semantics
Computers in Industry
The development of an intelligent system for customized clothing making
Expert Systems with Applications: An International Journal
Automated body feature extraction from 2D images
Expert Systems with Applications: An International Journal
The caesar project: a 3-D surface anthropometry survey
3DIM'99 Proceedings of the 2nd international conference on 3-D digital imaging and modeling
3D body reconstruction from photos based on range scan
Edutainment'06 Proceedings of the First international conference on Technologies for E-Learning and Digital Entertainment
Human action recognition based on skeleton splitting
Expert Systems with Applications: An International Journal
| Hi-index | 12.05 |
Constructing 3D human model from 2D images provides a cost-effective approach to visualize digital human in virtual environment. This paper presents a systematic approach for constructing 3D human model using the front and side images of a person. The silhouettes of human body are first detected and the feature points on the silhouettes are subsequently identified. The feature points are further used to obtain the body dimensions that are necessary for identifying a template 3D human model. The shape of the template human model can be modified by the free-form deformation method. Moreover, the proposed approach has been applied for constructing the 3D human models of 30 subjects. The comparisons between the constructed 3D models and the 3D scanning models of the 30 subjects indicate that the proposed system is very effective and robust.