97 citations · 218 across the 12 of their papers we have counts for
4 papers · 2 filters
K-means clustering for efficient and robust registration of multi-view point sets
Zutao Jiang, Jihua Zhu, Georgios D. Evangelidis +3
Generally, there are three main factors that determine the practical usability of registration, i.e., accuracy, robustness, and efficiency. In real-time applications, efficiency an…
Multi-view Registration Based on Weighted Low Rank and Sparse Matrix Decomposition of Motions
Congcong Jin, Jihua Zhu, Yaochen Li +3
Recently, the low rank and sparse (LRS) matrix decomposition has been introduced as an effective mean to solve the multi-view registration. It views each available relative motion…
Effective scaling registration approach by imposing the emphasis on the scale factor
Minmin Xu, Siyu Xu, Jihua Zhu +3
This paper proposes an effective approach for the scaling registration of -D point sets. Different from the rigid transformation, the scaling registration can not be formulated…
Weighted Motion Averaging for the Registration of Multi-View Range Scans
Rui Guo, Jihua Zhu, Yaochen Li +3
Multi-view registration is a fundamental but challenging problem in 3D reconstruction and robot vision. Although the original motion averaging algorithm has been introduced as an e…