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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Guanglin Zhang Jiping Li Jianjun Peng Hao Pang Xulun Jiao |
| Copyright Year | 2014 |
| Description | Author affiliation: Sch. of Inf. Sci. & Eng., Dalian Polytech. Univ., Dalian, China (Guanglin Zhang; Jiping Li; Jianjun Peng; Hao Pang; Xulun Jiao) |
| Abstract | 3D human body models have been widely used in all fields. For acquiring precise human body models, the research about their recognition and reconstruction has become a major topic. Here we present a new method for modeling 3D human body based on single Kinect from the viewpoint of cost and operability. In this method, human body 3D information is recognized and acquired by only one Kinect while 3D human body models are reconstructed by using the tools of Processing and Point Cloud Library. To achieve the reconstruction objective, the iterative closest point algorithm is adopted for registering the captured upper human body 3D point cloud data with the standard reference human body data. The experiment results demonstrate that this method is feasible. |
| Starting Page | 100 |
| Ending Page | 104 |
| File Size | 392888 |
| Page Count | 5 |
| File Format | |
| e-ISBN | 9781479958382 |
| DOI | 10.1109/BMEI.2014.7002751 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-10-14 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Kinect Solid modeling 3D modeling Three-dimensional displays Iterative closest point algorithm Biological system modeling Point Cloud Library Data models Libraries human body Surface treatment Processing |
| Content Type | Text |
| Resource Type | Article |
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