Application of Random Forest to the Prototying of the 3D Garment

DOI

10.2991/aiie-16.2016.125How to use a DOI?

Keywords

3D scanning body; random forest prototying of the 3D Garment

Abstract

A digital 3D scanning technique for human body is proposed. Firstly, feature point recognition is carried out on point cloud model of 3D sweeping human body. This method adopts the more mature random forest algorithm, and the algorithm has higher recognition effect. Then, based on the recognition of the feature points, the clothing garment of 3D clothing was constructed by Bezier curve, including the shoulder piece, the chest piece, the abdominal piece and the back piece, and the clothing was simulated. Then cut parts of the garment using the level of B-spline editing, making it more suitable for 3D human body model. Finally, the Euler algorithm is used to simulate the 3D garment. The experimental results show that the method is simple, effective and feasible.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Shuaijun Wang
AU  - Ye Yuan
AU  - Hongli Dun
PY  - 2016/11
DA  - 2016/11
TI  - Application of Random Forest to the Prototying of the 3D Garment
BT  - Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
PB  - Atlantis Press
SP  - 542
EP  - 545
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-16.2016.125
DO  - 10.2991/aiie-16.2016.125
ID  - Wang2016/11
ER  -