Marching Cubes Algorithm for Fast 3D Modeling of Human Face by Incremental Data FusionReport as inadecuate

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Mathematical Problems in EngineeringVolume 2013 2013, Article ID 203609, 7 pages

Research ArticleInstitute of Automation, Chinese Academy of Sciences, Beijng 100090, China

Received 22 December 2012; Accepted 20 January 2013

Academic Editor: Sheng-Yong Chen

Copyright © 2013 Xiangsheng Huang et al. This 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.


We present a 3D reconstruction system to realize fast 3D modeling using a vision sensor. The system can automatically detect the face region and obtain the depth data as well as color image data once a person appears in front of the sensor. When the user rotates his head around, the system will track the pose and integrate the new data incrementally to obtain a complete model of the personal head quickly. In the system, iterative closest point ICP algorithm is first used to track the pose of the head, and then a volumetric integration method is used to fuse all the data obtained. Third, ray casting algorithm extracts the final vertices of the model, and finally marching cubes algorithm generates the polygonal mesh of the reconstructed face model for displaying. During the process, we also make improvements to speed up the system for human face reconstruction. The system is very convenient for real-world applications, since it can run very quickly and be easily operated.

Author: Xiangsheng Huang, Xinghao Chen, Tao Tang, and Ziling Huang



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