Title: Surface Light Field Fusion: High Fidelity 3D Reconstruction
Advisors: Steve Seitz, Richard Newcombe, and Brian Curless
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.
Place:
CSE 403
When:
Friday, February 16, 2018 - 10:30 to Friday, March 29, 2024 - 04:44