Dense Lissajous Sampling and Interpolation for Dynamic Light-Transport
Version 2 2021-05-27, 20:22
Version 1 2021-05-27, 20:22
Posted on 2021-05-27 - 20:22
Light-transport represents the complex interactions of light in a scene. Fast, compressed, and accurate light-transport capture for dynamic scenes is an open challenge in vision and graphics. In this paper, we integrate the classical idea of Lissajous sampling with novel control strategies for such as relighting water drops and seeing around corners. In particular, this paper introduces an improved Lissajous projector hardware design and discusses calibration and capture for dynamic light-transport applications such as microelectromechanical (MEMS) mirror-based projector. Further, we show progress towards speeding up the hardware-based Lissajous subsampling for dual light transport frames, and investigate interpolation algorithms for recovering back the missing data. Our captured dynamic light transport results show complex light scattering effects for dense angular sampling, and we also show dual non-line-of-sight (NLoS) capture of dynamic scenes. This work is the first step towards adaptive Lissajous control for dynamic light-transport. Please see the accompanying video for all the results.
CITE THIS COLLECTION
DataCite
3 Biotech
3D Printing in Medicine
3D Research
3D-Printed Materials and Systems
4OR
AAPG Bulletin
AAPS Open
AAPS PharmSciTech
Abhandlungen aus dem Mathematischen Seminar der Universität Hamburg
ABI Technik (German)
Academic Medicine
Academic Pediatrics
Academic Psychiatry
Academic Questions
Academy of Management Discoveries
Academy of Management Journal
Academy of Management Learning and Education
Academy of Management Perspectives
Academy of Management Proceedings
Academy of Management Review
liu, xiaomeng; Henderson, Kristofer; Rego, Joshua; Jayasuriya, Suren; Koppal, Sanjeev (2021). Dense Lissajous Sampling and Interpolation for Dynamic Light-Transport. Optica Publishing Group. Collection. https://doi.org/10.6084/m9.figshare.c.5339282.v1
or
Select your citation style and then place your mouse over the citation text to select it.
Resource Link
SHARE
Usage metrics
Read the peer-reviewed publication
AUTHORS (5)
xl
xiaomeng liu
KH
Kristofer Henderson
JR
Joshua Rego
SJ
Suren Jayasuriya
SK
Sanjeev Koppal