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Journal of Graphics ›› 2024, Vol. 45 ›› Issue (1): 199-208.DOI: 10.11996/JG.j.2095-302X.2024010199

• Computer Graphics and Virtual Reality • Previous Articles     Next Articles

Hybrid-structure based multi-view 3D scene reconstruction

ZHOU Jingyi(), ZHANG Qitong, FENG Jieqing()   

  1. State Key Laboratory of CAD&CG, Zhejiang University, Hangzhou Zhejiang 310058, China
  • Received:2023-07-20 Accepted:2023-12-13 Online:2024-02-29 Published:2024-02-29
  • Contact: FENG Jieqing (1970-), professor, Ph.D. His main research interests cover graphics rendering, geometric modeling, stereo vision and modeling and simulation of solar thermal energy. E-mail:jqfeng@cad.zju.edu.cn
  • About author:

    ZHOU Jingyi (1999-), master student. Her main research interest covers multi-view reconstruction. E-mail:22121273@zju.edu.cn

  • Supported by:
    National Natural Science Foundation of China(61932018);National Natural Science Foundation of China(62272408)

Abstract:

Achieving accurate and efficient 3D reconstruction through PatchMatch-based multi-view stereo (MVS) algorithms remains a challenging task. The red-black checkerboard propagation method offers high computational efficiency, yet its corresponding view selection strategy lacks accuracy. The view selection strategy based on Markov chain can obtain more accurate matching results, but lacks parallelism. To balance reconstruction quality and runtime, a hybrid-structure based multi-view 3D scene reconstruction algorithm was proposed. In the first stage, the algorithm employed a parallel row/col propagation strategy and a Markov chain-based view selection strategy to produce high-quality initial depth maps. Meanwhile, multi-level processing was utilized to improve the reconstruction quality of weak texture regions. In the second stage, checkerboard propagation and a voting-based view selection strategy were used to increase computational efficiency and reduce reconstruction time. Extensive experiments and comparisons on the Strecha and ETH3D datasets demonstrated that the proposed algorithm can generate results 2.5 times faster without accuracy reduction.

Key words: 3D reconstruction, multi-view stereo matching, view selection, propagation strategy, multi-level processing

CLC Number: