Significant strides have been made in enhancing the accuracy of Multi-View
Stereo (MVS)-based 3D reconstruction. However, untextured areas with unstable
photometric consistency often remain incompletely reconstructed. In this paper,
we propose a resilient and effective multi-view stereo approach (MP-MVS). We
design a multi-scale windows PatchMatch (mPM) to obtain reliable depth of
untextured areas. In contrast with other multi-scale approaches, which is
faster and can be easily extended to PatchMatch-based MVS approaches.
Subsequently, we improve the existing checkerboard sampling schemes by limiting
our sampling to distant regions, which can effectively improve the efficiency
of spatial propagation while mitigating outlier generation. Finally, we
introduce and improve planar prior assisted PatchMatch of ACMP. Instead of
relying on photometric consistency, we utilize geometric consistency
information between multi-views to select reliable triangulated vertices. This
strategy can obtain a more accurate planar prior model to rectify photometric
consistency measurements. Our approach has been tested on the ETH3D High-res
multi-view benchmark with several state-of-the-art approaches. The results
demonstrate that our approach can reach the state-of-the-art. The associated
codes will be accessible at this https URL

在本文中，我们提出了一种弹性且有效的多视角立体匹配方法（MP-MVS），该方法利用多尺度窗口 PatchMatch（mPM）获得非纹理区域的可靠深度，并通过改进的棋盘格采样方案和改进的平面先验辅助 PatchMatch（ACMP）来提高立体匹配的准确性和效率。