  In this paper, we present a novel approach for multiview point cloud
registration. Different from previous researches that typically employ a global
scheme for multiview registration, we propose to adopt an incremental pipeline
to progressively align scans into a canonical coordinate system. Specifically,
drawing inspiration from image-based 3D reconstruction, our approach first
builds a sparse scan graph with scan retrieval and geometric verification.
Then, we perform incremental registration via initialization, next scan
selection and registration, Track create and continue, and Bundle Adjustment.
Additionally, for detector-free matchers, we incorporate a Track refinement
process. This process primarily constructs a coarse multiview registration and
refines the model by adjusting the positions of the keypoints on the Track.
Experiments demonstrate that the proposed framework outperforms existing
multiview registration methods on three benchmark datasets. The code is
available at https://github.com/Choyaa/IncreMVR.
