Radiometry propagation to large 3D point clouds from sparsely sampled ground truth

Thomas Höll

    Research output: Contribution to conference(Old data) Lecture or Presentation

    Abstract

    Good radiometry of a 3D reconstruction is essential for digital conservation and versatile visualization of cultural heritage artifacts and sites. For large sites, "true" radiometry for the complete 3D point cloud is very expensive to obtain. We present a method that is capable to reconstruct the radiometric surface properties of an entire scene despite the fact that we only have access to the "true" radiometry of a small part of it. This is done in a two stage process: First, we transfer the radiometry to spatially corresponding parts of the scene, and second, we propagate these values to the entire scene using affinity information. We apply our method to 3D point clouds and 2D images, and show excellent quantitative and visually pleasing qualitative results. This approach can be of high value in many applications where users want to improve phototextured models towards high-quality yet affordable radiometry.
    Original languageEnglish
    Publication statusPublished - 20 Nov 2016

    Fingerprint Dive into the research topics of 'Radiometry propagation to large 3D point clouds from sparsely sampled ground truth'. Together they form a unique fingerprint.

    Cite this