The invention provides a multi-view stereo matching method based on self-adaptive watershed image segmentation, provides a new self-adaptive local threshold method, and applies the method to region fusion of a watershed combined with a Prim method. The method comprise the following steps: processing...
Y. Liu et al., "Geometry-Enhanced Attentive Multi-View Stereo for Challenging Matching Scenarios," in IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, no. 8, pp. 7401-7416, Aug. 2024, doi: 10.1109/TCSVT.2024.3376692. 摘要 Abstract— Deep networks have made remarkable...
1.Basic Stereo Matching Algorithm 1.找需要匹配的点 2.求点的极线 3.遍历极线找到最佳匹配点 4.三角化获得深度信息 2.Stereo Image Rectification 1.平行的两平面:极点和极线共线 2.不平行的两平面,先映射成平行 3.Correspondence Search window越大,越模糊,但平滑噪点少 window越小,越多细节,但噪点多 Mu...
早期cost volume构建在大尺度的语义特征上(稀疏采样) 后期cost volume通过之前估计的深度图适应性的调整深度假设范围,构建精细的代价体 这种适应性深度假设和图像分辨率调整使得计算资源被用在more meaningful region,从而降低GPU和时间消耗 【两类问题】 multi-view stereo 主线上的DTU那些 stereo matching:end-point-err...
Multi-view stereo3D reconstructionDAISYHigh-resolution imagesWe present a new approach for large-scale multi-view stereo matching, which is designed to operate on ultra high-resolution image sets and efficiently compute dense 3D point clouds. We show that, using a robust descriptor for matching ...
MVSNet是一个十分具有代表性的方法,它在预先给定的深度范围内采样D个depth hypotheses,然后基于plane-sweeping stereo和differential warping构建cost volume,使用3D U-Net进行regularization得到probability volume,最后使用soft argmin(求期望)得到深度的估计。在后续的诸多工作中,由于3D convolution十分昂贵,一些方法(R-...
We present a novel method to handle noisy points in multi-view stereo matching from images of different views. There are two contributions to improve depth maps in this paper. Firstly, we propose a two-stage segmentation method in the stereo matching algorithm with point entropy, which is super...
MVSNet是一个十分具有代表性的方法,它在预先给定的深度范围内采样D个depth hypotheses,然后基于plane-sweeping stereo和differential warping构建cost volume,使用3D U-Net进行regularization得到probability volume,最后使用soft argmin(求期望)得到深度的估计。在后续的诸多工作中,由于3D convolution十分昂贵,一些方法(R-...
and the GPU needs to perform more memory access operations. To speed up our algorithm, we borrowed the idea from dilated convolution [8] during the stereo matching step. As shown in the experiment, our speed-up scheme is effective and can boost the algorithm with only a slight influence on...
We present a new approach for large-scale multi-view stereo matching, which is designed to operate on ultra high-resolution image sets and efficiently compute dense 3D point clouds. We show that, using a robust descriptor for matching purposes and high-resolution images, we can skip the computa...