3D Geology Scene Exploring Base on Hand-Track Somatic Interaction

Wei Zhang, Fang Zhu, Ping Lu, Ping Li, Bin Sheng, Lijuan Mao

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Terrain analysis is the basis of geological research. However, due to factors such as distance and range, it is often difficult to study the terrain environment in the field. Therefore, researchers can observe and study the terrain by making a three-dimensional terrain model. The 3D terrain model can reduce the terrain range, eliminate the limitation on distance, and control the scene through program interface, to achieve human-computer interaction to meet different research needs. The usual human-computer interaction methods are implemented through traditional peripherals such as the mouse and keyboard. With the rapid development of computer network technology and the continuous improvement of intelligent software and hardware, people have greater requirements for interactive manipulation and immersion. This article proposes a method for displaying terrain models based on real-sensing technology by using Intel’s RealSense camera to control the scene of the desert model through gestures. The user can observe the model from two different perspectives, and use different gestures to zoom in, zoom out, move, and rotate the scene, as well as choose some options. The traditional method of controlling by mouse is also applicable. The entire project is designed as a game, with a realistic and complete model, an exquisite interface, and strong interactivity.

Original languageEnglish
Title of host publicationAdvances in Computer Graphics - 37th Computer Graphics International Conference, CGI 2020, Proceedings
EditorsNadia Magnenat-Thalmann, Constantine Stephanidis, George Papagiannakis, Enhua Wu, Daniel Thalmann, Bin Sheng, Jinman Kim, Marina Gavrilova
PublisherSpringer Science and Business Media Deutschland GmbH
Pages364-373
Number of pages10
ISBN (Print)9783030618636
DOIs
Publication statusPublished - 2020
Event37th Computer Graphics International Conference, CGI 2020 - Geneva, Switzerland
Duration: 20 Oct 202023 Oct 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12221 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference37th Computer Graphics International Conference, CGI 2020
Country/TerritorySwitzerland
CityGeneva
Period20/10/2023/10/20

Keywords

  • 3D Scene
  • Depth camera
  • Gesture sensing
  • Hand track
  • RealSense
  • Somatosensory
  • Unity

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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