Dense Lissajous sampling and interpolation for dynamic light-transport
Abstract
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 dynamic light-transport applications 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 a 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.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- May 27, 2021
- Source ID
- 10.1364/oe.425061
Entities
People
- Joshua Rego
- Kristofer Henderson
- Sanjeev J. Koppal
- Suren Jayasuriya
- Xiaomeng Liu
Organizations
- Arizona State University
- National Science Foundation
- Office of Naval Research
- University of Florida