Rough or Noisy? Metrics for Noise Estimation in SfM Reconstructions.

ABSTRACT: Structure from Motion (SfM) can produce highly detailed 3D reconstructions, but distinguishing real surface roughness from reconstruction noise and geometric inaccuracies has always been a difficult problem to solve. Existing SfM commercial solutions achieve noise removal by a combination of aggressive global smoothing and the reconstructed texture for smaller details, which is a subpar solution when the results are used for surface inspection. Other noise estimation and removal algorithms do not take advantage of all the additional data connected with SfM. We propose a number of geometrical and statistical metrics for noise assessment, based on both the reconstructed object and the capturing camera setup. We test the correlation of each of the metrics to the presence of noise on reconstru

SUBMITTER: Nikolov I 

PROVIDER: S-EPMC7582591 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature