This paper proposes a global approach for the multi-view registration of unordered range scans. As the basis of multi-view registration, pair-wise registration is very pivotal. Therefore, we first select a good descriptor and accelerate its correspondence propagation for the pair-wise registration. Then, we design an effective rule to judge the reliability of pair-wise registration results. Subsequently, we propose a model augmentation method, which can utilize reliable results of pair-wise registration to augment the model shape. Finally, multi-view registration can be accomplished by operating the pair-wise registration and judgment, and model augmentation alternately. Experimental results on public available data sets show, that this approach can automatically achieve the multi-view registration of unordered range scans with good accuracy and effectiveness.
@article{arxiv.1804.07926,
title = {Multi-view registration of unordered range scans by fast correspondence propagation of multi-scale descriptors},
author = {Jihua Zhu and Siyu Xu and Zutao Jiang and Shanmin Pang and Jun Wang and Zhongyu Li},
journal= {arXiv preprint arXiv:1804.07926},
year = {2018}
}