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  • Received: Jul. 26, 2020

    Accepted: Sep. 11, 2020

    Posted: Dec. 9, 2020

    Published Online: Jan. 4, 2021

    The Author Email: Wei Fang (fangwei@bupt.edu.cn)

    DOI: 10.3788/COL202119.021101

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    Wei Fang, Kui Yang, Haiyuan Li. Propagation-based incremental triangulation for multiple views 3D reconstruction[J]. Chinese Optics Letters, 2021, 19(2): 021101

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Chinese Optics Letters, Vol. 19, Issue 2, 021101 (2021)

Propagation-based incremental triangulation for multiple views 3D reconstruction

Wei Fang1,*, Kui Yang2, and Haiyuan Li1

Author Affiliations

  • 1School of Automation, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • 2School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing 100191, China

Abstract

To balance the accuracy and efficiency in multiple-view triangulation with sequential images, a high-efficiency propagation-based incremental triangulation (INT) method, carving three-dimensional (3D) scene points by updating the incoming feature track one by one without iterations, is proposed. Based on the INT method, a more accurate iteration-limited INT method is also established with few iterations to bound the propagated errors, ensuring the accuracy of subsequent 3D reconstruction. Finally, experimental results demonstrate that the proposed methods can balance the efficiency and accuracy in different multiple-view INT situations.

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