Recurrent Multi-View Alignment Network for Unsupervised Surface Registration

Wanquan Feng; Juyong Zhang; Hongrui Cai; Haofei Xu; Junhui Hou; Hujun Bao

doi:10.1109/cvpr46437.2021.01016

CVPR2021顶会

Recurrent Multi-View Alignment Network for Unsupervised Surface Registration

Wanquan Feng, Juyong Zhang, Hongrui Cai, Haofei Xu, Junhui Hou, Hujun Bao

DOI 出版方

2021年份

8顶会引用

摘要

Mask & Depth Figure 1 . We propose RMA-Net for non-rigid registration. With a recurrent unit, the network iteratively deforms the input surface shape stage by stage until converging to the target. RMA-Net is totally trained in an unsupervised manner by aligning the source and target shapes via our proposed multi-view 2D projection loss.