Surface Light Field Fusion
Jeong Joon Park, Richard Newcombe, Steve Seitz
TL;DR
This paper introduces a method for capturing detailed surface light fields of reflective objects using standard RGBD sensors, enabling high-quality 3D appearance modeling from multiple directions.
Contribution
It presents a novel surface light field fusion technique that robustly estimates appearance and shape from commodity IR-equipped depth sensors.
Findings
Achieves high-quality surface light field reconstruction.
Robustly estimates appearance from reflective surfaces.
Enables interactive scanning of complex objects.
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.
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