Selection of large-scale 3D point cloud data using gesture recognition

Robin Burgess, António J. Falcão, Tiago Fernandes, Rita A. Ribeiro, Miguel Gomes, Alberto Krone-Martins, André Moitinho de Almeida

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

An essential task when visualizing and analyzing large-scale 3D point cloud data is the selection of subsets of that data. This presents two challenges, the need for a selection method that is independent of the size of the dataset and how to interact with a 3D space effectively in a digital world still rooted in 2D interaction and visualization. We present an interface for defining volumes to select 3D point cloud data that uses hand gesture control with a Leap Motion device. The use of volumes is scalable to very large datasets, and the use of the Leap Motion gives the user access to the third dimension, facilitating interaction with the point cloud data. We illustrate with a large astronomical data archive hosted on the cloud that is retrieved on as-needed basis.

Original languageEnglish
Title of host publicationTechnological Innovation for Cloud-Based Engineering Systems - 6th IFIPWG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2015, Proceedings
EditorsLuis M. Camarinha-Matos, Thais A. Baldissera, Giovanni Di Orio, Francisco Marques
PublisherSpringer New York LLC
Pages188-195
Number of pages8
ISBN (Electronic)978-3-319-16765-7
DOIs
Publication statusPublished - 1 Jan 2015
Event6th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2015 - Costa de Caparica, Portugal
Duration: 13 Apr 201515 Apr 2015

Publication series

NameIFIP Advances in Information and Communication Technology
Volume450
ISSN (Print)1868-4238

Conference

Conference6th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2015
CountryPortugal
CityCosta de Caparica
Period13/04/1515/04/15

Keywords

  • Gesture recognition
  • Large scale data
  • Point cloud data

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