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

Jhen Yi Ding, Junesuk Lee, Soon Yong Park

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication12th International Conference on Machine Vision, ICMV 2019
EditorsWolfgang Osten, Dmitry Nikolaev, Jianhong Zhou
PublisherSPIE
ISBN (Electronic)9781510636439
DOIs
StatePublished - 2020
Event12th International Conference on Machine Vision, ICMV 2019 - Amsterdam, Netherlands
Duration: 16 Nov 201918 Nov 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11433
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference12th International Conference on Machine Vision, ICMV 2019
Country/TerritoryNetherlands
CityAmsterdam
Period16/11/1918/11/19

Keywords

  • 3D Depth
  • Deformable Registration
  • Node Correspondence
  • Non-rigid ICP

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