2018
Learning Patch Reconstructability for Accelerating Multi-View Stereo
CVPR 2018poster
We present an approach to accelerate multi-view stereo (MVS) by prioritizing computation on image patches that are likely to produce accurate 3D surface reconstructions. Our key insight is that the accuracy of the surface reconstruction from a given image patch can be predicted significantly faster…