English

Surface Light Field Fusion

Computer Vision and Pattern Recognition 2018-09-07 v1 Graphics

Abstract

We present an approach for interactively scanning highly reflective objects with a commodity RGBD sensor. In addition to shape, our approach models the surface light field, encoding scene appearance from all directions. By factoring the surface light field into view-independent and wavelength-independent components, we arrive at a representation that can be robustly estimated with IR-equipped commodity depth sensors, and achieves high quality results.

Keywords

Cite

@article{arxiv.1809.02057,
  title  = {Surface Light Field Fusion},
  author = {Jeong Joon Park and Richard Newcombe and Steve Seitz},
  journal= {arXiv preprint arXiv:1809.02057},
  year   = {2018}
}

Comments

Project Website: http://grail.cs.washington.edu/projects/slfusion/

R2 v1 2026-06-23T03:56:50.841Z