3D compressive LIDAR imaging using multiscale-ordered hadamard basis

Vladislav Kravets, Adrian Stern

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We introduce an application of multiscale-ordering of the Hadamard basis for compressive LIDAR acquisition on synthetic 3D images. Improvement in quality of the reconstruction and other advantages over conventional compressed sensing, will be presented.

Original languageEnglish
Title of host publication3D Image Acquisition and Display
Subtitle of host publicationTechnology, Perception and Applications, 3D 2018
PublisherOptica Publishing Group (formerly OSA)
ISBN (Print)9781943580446
DOIs
StatePublished - 1 Jan 2018
Event3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2018 - Orlando, United States
Duration: 25 Jun 201828 Jun 2018

Publication series

NameOptics InfoBase Conference Papers
VolumePart F95-3D 2018
ISSN (Electronic)2162-2701

Conference

Conference3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2018
Country/TerritoryUnited States
CityOrlando
Period25/06/1828/06/18

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

Fingerprint

Dive into the research topics of '3D compressive LIDAR imaging using multiscale-ordered hadamard basis'. Together they form a unique fingerprint.

Cite this