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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mingjie Liang Huaqing Min Ronghua Luo Jinhui Zhu Chang'an Yi |
| Copyright Year | 2012 |
| Description | Author affiliation: School of Computer Science and Engineering, South China University of Technology, Guangzhou, China (Mingjie Liang; Ronghua Luo; Chang'an Yi) || School of Software Engineering, South China University of Technology, Guangzhou, China (Huaqing Min; Jinhui Zhu) |
| Abstract | 3D model building is an essential topic in both computer vision and robotic community. Usually this is achieved with alignment methods which try to place the data into a common reference frame by finding out the transformations between them. Traditional local alignment approaches, such as ICP and its variants, mainly concern about pairwise constraints and leave out the transformation consistency requirements implied by data sequence. However, these consistencies are important clues to increase the precision of alignment. To use this information better, we present Local Transformation Consistent Alignment (LTCA), which takes triple of frames as input and simultaneously optimize the transformations between them so that local consistencies can be maintained. To evaluate the proposed method, we apply it to the 3D modeling problem with RGB-D image data as input. Comparisons with the state-of-the-art pairwise alignment- Generalized ICP are also made. Experimental results show that more precise alignment results can be obtained when consistency constraints are kept. |
| Starting Page | 817 |
| Ending Page | 822 |
| File Size | 277776 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467318716 |
| e-ISBN | 9781467318723 |
| e-ISBN | 9781467318709 |
| DOI | 10.1109/ICARCV.2012.6485263 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-12-05 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Solid modeling Optimization Iterative closest point algorithm Jacobian matrices Trajectory Feature extraction Computational modeling |
| Content Type | Text |
| Resource Type | Article |
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