摘要
Iterative closest point (ICP) algorithm, as its accuracy and efficiency, is widely used in rigid registration. However, ICP algorithm is easily failed when point sets lack of structure variety, such as semicircles. To solve this problem, a precise point set registration method for RGB-D data is proposed. Firstly, the color information provides a new information for registration, and the correntropy is introduced to deal with the noises and outliers. With color assisted and correntropy, a more robust objective function is built. Secondly, a variant ICP algorithm is used to deal with optimization problem via multiple iterations. Finally, as shown in the experimental results and scene reconstruction, our method obtains more precise results than other ICP algorithms.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 |
| 出版商 | Institute of Electrical and Electronics Engineers Inc. |
| 页 | 3970-3974 |
| 页数 | 5 |
| ISBN(电子版) | 9781538666500 |
| DOI | |
| 出版状态 | 已出版 - 2 7月 2018 |
| 活动 | 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 - Miyazaki, 日本 期限: 7 10月 2018 → 10 10月 2018 |
出版系列
| 姓名 | Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 |
|---|
会议
| 会议 | 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 |
|---|---|
| 国家/地区 | 日本 |
| 市 | Miyazaki |
| 时期 | 7/10/18 → 10/10/18 |
联合国可持续发展目标
此成果有助于实现下列可持续发展目标:
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可持续发展目标 3 良好健康与福祉
学术指纹
探究 'Precise Point Set Registration with Color Assisted and Correntropy for 3D Reconstruction' 的科研主题。它们共同构成独一无二的指纹。引用此
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