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Space-time surface reconstruction using incompressible flow

Published: 01 December 2008 Publication History

Abstract

We introduce a volumetric space-time technique for the reconstruction of moving and deforming objects from point data. The output of our method is a four-dimensional space-time solid, made up of spatial slices, each of which is a three-dimensional solid bounded by a watertight manifold. The motion of the object is described as an incompressible flow of material through time. We optimize the flow so that the distance material moves from one time frame to the next is bounded, the density of material remains constant, and the object remains compact. This formulation overcomes deficiencies in the acquired data, such as persistent occlusions, errors, and missing frames. We demonstrate the performance of our flow-based technique by reconstructing coherent sequences of watertight models from incomplete scanner data.

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Cited By

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  • (2017)BodyFusion: Real-Time Capture of Human Motion and Surface Geometry Using a Single Depth Camera2017 IEEE International Conference on Computer Vision (ICCV)10.1109/ICCV.2017.104(910-919)Online publication date: Oct-2017
  • (2016)Mobility fitting using 4D RANSACProceedings of the Symposium on Geometry Processing10.5555/3061451.3061462(79-88)Online publication date: 20-Jun-2016
  • (2016)Mobility Fitting using 4D RANSACComputer Graphics Forum10.1111/cgf.1296535:5(79-88)Online publication date: 15-Aug-2016
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Published In

cover image ACM Conferences
SIGGRAPH Asia '08: ACM SIGGRAPH Asia 2008 papers
December 2008
581 pages
ISBN:9781450318310
DOI:10.1145/1457515
  • Editor:
  • John C. Hart
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 December 2008

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Author Tags

  1. reconstruction
  2. space-time
  3. volumetric techniques

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SIGGRAPH Asia '08 Paper Acceptance Rate 59 of 320 submissions, 18%;
Overall Acceptance Rate 178 of 869 submissions, 20%

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Cited By

View all
  • (2017)BodyFusion: Real-Time Capture of Human Motion and Surface Geometry Using a Single Depth Camera2017 IEEE International Conference on Computer Vision (ICCV)10.1109/ICCV.2017.104(910-919)Online publication date: Oct-2017
  • (2016)Mobility fitting using 4D RANSACProceedings of the Symposium on Geometry Processing10.5555/3061451.3061462(79-88)Online publication date: 20-Jun-2016
  • (2016)Mobility Fitting using 4D RANSACComputer Graphics Forum10.1111/cgf.1296535:5(79-88)Online publication date: 15-Aug-2016
  • (2015)Fast, Automated, Scalable Generation of Textured 3D Models of Indoor EnvironmentsIEEE Journal of Selected Topics in Signal Processing10.1109/JSTSP.2014.23811539:3(409-421)Online publication date: Apr-2015
  • (2014)Proactive 3D scanning of inaccessible partsACM Transactions on Graphics10.1145/2601097.260119133:4(1-8)Online publication date: 27-Jul-2014
  • (2014)3D motion completion in crowded scenesProceedings of the Symposium on Geometry Processing10.1111/cgf.12432(65-74)Online publication date: 9-Jul-2014
  • (2014)Spatio-temporal geometry fusion for multiple hybrid cameras using moving least squares surfacesComputer Graphics Forum10.1111/cgf.1228533:2(1-10)Online publication date: 1-May-2014
  • (2013)3D self-portraitsACM Transactions on Graphics10.1145/2508363.250840732:6(1-9)Online publication date: 1-Nov-2013
  • (2013)A Convex Relaxation Approach to Space Time Multi-view 3D ReconstructionProceedings of the 2013 IEEE International Conference on Computer Vision Workshops10.1109/ICCVW.2013.46(291-298)Online publication date: 2-Dec-2013
  • (2013)Watertight Planar Surface Meshing of Indoor Point-Clouds with Voxel CarvingProceedings of the 2013 International Conference on 3D Vision10.1109/3DV.2013.14(41-48)Online publication date: 29-Jun-2013
  • Show More Cited By

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