Complete 3D Model Reconstruction Using Two Types of Depth Sensors

摘要：

We propose a fast and simple application system of 3D model reconstruction. We acquire range images by using a combination of a regular camera and two types of depth sensors. The reconstruction of a 3D model consists of four key steps: (i) Initial alignment either feature tracking or the 4-points congruent sets algorithm is used to align surfaces captured at different frames. (ii)The iterative closest point (ICP) method is applied to further align the piecewise surfaces from the last step, (iii) The surfaces are merged into a whole 3D model by the volumetric method, (iv) In the refinement step, we fill holes and produce a complete 3D model that approximates the original model with robust repair of polygonal models. At last, we present the experimental results which show that the errors between our reconstructed model and the ground truth are less than 1％.

关键词： 3D model reconstruction range image integration

作者: Guangyu Mu Miao Liao Ruigang Yang Dantong Ouyang Zhiwen Xu Xiaoxin Guo

作者单位: Department of Computer Science and Technology, Jilin University,College of Information,Jilin Univers Department of Engineering,University of Kentucky,Center for Visualization and Virtual Environment,Le Department of Engineering,University of Kentucky,Center for Visualization and Virtual Environment,Le Department of Computer Science and Technology,Jilin University,Key Laboratory of Symbolic Computatio Department of Computer Science and Technology, Jilin University,Changchun, China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 162-166

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）