Deformable 3D registration with PWC-net optical flow and textured node correspondences

Jhen-Yi Ding; Junesuk Lee; Soon-Yong Park

doi:10.1117/12.2559515

31 January 2020 Deformable 3D registration with PWC-net optical flow and textured node correspondences

Jhen-Yi Ding, Junesuk Lee, Soon-Yong Park

Proceedings Volume 11433, Twelfth International Conference on Machine Vision (ICMV 2019); 1143337 (2020) https://doi.org/10.1117/12.2559515
Event: Twelfth International Conference on Machine Vision, 2019, Amsterdam, Netherlands

Abstract

In this paper, we present an approach for the deformable registration of 3D data via an RGB-D camera to reduce depth distortions in featureless regions. We employ the established PWC-Net based Optical Flow algorithm to identify pixel correspondence between nearby frames and then densely and uniformly select transformation nodes. Color correspondence of the transformation nodes is used in both global and local deformations. Several experimental results show that the proposed method results in low distortion during the non-rigid registration of multiple RGB-D images.

Citation Download Citation

Jhen-Yi Ding, Junesuk Lee, and Soon-Yong Park "Deformable 3D registration with PWC-net optical flow and textured node correspondences", Proc. SPIE 11433, Twelfth International Conference on Machine Vision (ICMV 2019), 1143337 (31 January 2020); https://doi.org/10.1117/12.2559515

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