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Dynamic 3D surface reconstruction using a hand-held camera

Research output: Chapter in Book/Report/Conference proceedingConference contribution

This paper proposes a dynamic 3D reconstruction method for recovering a surface shape from a set of images that are captured by a hand-held camera. A light source is attached to the camera as a photometric constraint. Thus, we can effectively calculate photometric stereo using the relative moving camera. The key contributions of our work are a robust pixel matching method to build effective correspondences between images for normal estimation, and an optimization method to correct the deviation in the recovered surface shape that is caused by the non- ideal illumination in a close-range lighting condition. Specially we correct the recovered shape by adding an interpolation surface that is estimated using sparse control points from the structure from motion. The effectiveness of our method is verified on real datasets with a digital camera and a smartphone.
Original languageEnglish
Title of host publicationIECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society
Number of pages6
ISBN (Electronic)978-1-5090-6684-1, 978-1-5090-6683-4
ISBN (Print)978-1-5090-6685-8
Publication statusPublished - 31 Dec 2018
Event44th Annual Conference of the IEEE Industrial Electronics Society - Washington DC, United States
Duration: 21 Oct 201823 Oct 2018

Publication series

NameIEEE IECON Proceedings Series
ISSN (Print)1553-572X
ISSN (Electronic)2577-1647


Conference44th Annual Conference of the IEEE Industrial Electronics Society
Abbreviated titleIECON 2018
CountryUnited States
CityWashington DC
Internet address


  • dynamicPS_postprint

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    Accepted author manuscript (Post-print), 2.06 MB, PDF document

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