Quasi-dense 3D reconstruction using tensor-based multiview stereo
Refereed conference paper presented and published in conference proceedings


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AbstractWe propose tensor-based multiview stereo (TMVS) for quasi-dense 3D reconstruction from uncalibrated images. Our work is inspired by the patch-based multiview stereo (PMVS), a state-of-the-art technique in multiview stereo reconstruction. The effectiveness of PMVS is attributed to the use of 3D patches in the match-propagate-filter MVS pipeline. Our key observation is: PMVS has not fully utilized the valuable 3D geometric cue available in 3D patches which are oriented points. This paper combines the complementary advantages of photoconsistency, visibility and geometric consistency enforcement in MVS via the use of 3D tensors, where our closed-form solution to tensor voting provides a unified approach to implement the match-propagate-filter pipeline. Using PMVS as the implementation backbone where TMVS is built, we provide qualitative and quantitative evaluation to demonstrate how TMVS significantly improve the MVS pipeline. ©2010 IEEE.
All Author(s) ListWu T.-P., Yeung S.-K., Jia J., Tang C.-K.
Name of Conference2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010
Start Date of Conference13/06/2010
End Date of Conference18/06/2010
Place of ConferenceSan Francisco, CA
Country/Region of ConferenceUnited States of America
Detailed descriptionorganized by IEEE,
Year2010
Month8
Day31
Pages1482 - 1489
ISBN9781424469840
ISSN1063-6919
LanguagesEnglish-United Kingdom

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