TY - JOUR
T1 - Consistent ZoomOut: Efficient Spectral Map Synchronization
AU - Huang, Ruqi
AU - Ren, Jing
AU - Wonka, Peter
AU - Ovsjanikov, Maks
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): CRG-2017-3426
Acknowledgements: The authors thank the anonymous reviewers for their valuable comments. Parts of this work were supported by the KAUST OSR Award No. CRG-2017-3426 and the ERC Starting Grant No. 758800 (EXPROTEA).
PY - 2020/8/13
Y1 - 2020/8/13
N2 - In this paper, we propose a novel method, which we call Consistent ZoomOut, for efficiently refining correspondences among deformable 3D shape collections, while promoting the resulting map consistency. Our formulation is closely related to a recent unidirectional spectral refinement framework, but naturally integrates map consistency constraints into the refinement. Beyond that, we show further that our formulation can be adapted to recover the underlying isometry among near-isometric shape collections with a theoretical guarantee, which is absent in the other spectral map synchronization frameworks. We demonstrate that our method improves the accuracy compared to the competing methods when synchronizing correspondences in both near-isometric and heterogeneous shape collections, but also significantly outperforms the baselines in terms of map consistency.
AB - In this paper, we propose a novel method, which we call Consistent ZoomOut, for efficiently refining correspondences among deformable 3D shape collections, while promoting the resulting map consistency. Our formulation is closely related to a recent unidirectional spectral refinement framework, but naturally integrates map consistency constraints into the refinement. Beyond that, we show further that our formulation can be adapted to recover the underlying isometry among near-isometric shape collections with a theoretical guarantee, which is absent in the other spectral map synchronization frameworks. We demonstrate that our method improves the accuracy compared to the competing methods when synchronizing correspondences in both near-isometric and heterogeneous shape collections, but also significantly outperforms the baselines in terms of map consistency.
UR - http://hdl.handle.net/10754/664764
UR - https://onlinelibrary.wiley.com/doi/abs/10.1111/cgf.14084
UR - http://www.scopus.com/inward/record.url?scp=85089373049&partnerID=8YFLogxK
U2 - 10.1111/cgf.14084
DO - 10.1111/cgf.14084
M3 - Article
SN - 1467-8659
VL - 39
SP - 265
EP - 278
JO - Computer Graphics Forum
JF - Computer Graphics Forum
IS - 5
ER -