AI Chat AI Image Generator AI Video Text to Speech

Surface Light Field Fusion

09/06/2018

∙

by Jeong Joon Park, et al.

∙

∙

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.

Jeong Joon Park
14 publications
Richard Newcombe
16 publications
Steve Seitz
14 publications

research

∙ 03/27/2020

Learning Implicit Surface Light Fields

Implicit representations of 3D objects have recently achieved impressive...

1 Michael Oechsle, et al. ∙

research

∙ 03/18/2013

Modeling a Sensor to Improve its Efficacy

Robots rely on sensors to provide them with information about their surr...

0 N. K. Malakar, et al. ∙

research

∙ 11/11/2013

Volumetric Reconstruction Applied to Perceptual Studies of Size and Weight

We explore the application of volumetric reconstruction from structured-...

0 J. Balzer, et al. ∙

research

∙ 01/14/2020

Seeing the World in a Bag of Chips

We address the dual problems of novel view synthesis and environment rec...

10 Jeong Joon Park, et al. ∙

research

∙ 09/15/2023

An inspection technology of inner surface of the fine hole based on machine vision

Fine holes are an important structural component of industrial component...

0 Rongfang He, et al. ∙

research

∙ 02/06/2020

FibAR: Embedding Optical Fibers in 3D Printed Objects for Active Markers in Dynamic Projection Mapping

This paper presents a novel active marker for dynamic projection mapping...

0 Daiki Tone, et al. ∙

research

∙ 06/08/2017

Causes and Corrections for Bimodal Multipath Scanning with Structured Light

Structured light illumination is an active 3-D scanning technique based ...

0 Yu Zhang, et al. ∙