A new 3D imaging system using a portable two-camera omni-imaging device for construction and browsing of human-reachable environments

Yu Tung Kuo*, Wen-Hsiang Tsai 

*Corresponding author for this work

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

Abstract

As an improvement on existing street view systems which cannot be moved to certain environments to acquire images, a new 3D imaging system using a portable two-camera omni-imaging device is proposed. The device can be carried on one's back and moved on foot to any indoor and outdoor scene spot to acquire omni-images which cover the entire spherical view of the scene with an overlapping image band. By a space-mapping technique, the two omni-images are transformed into panoramic images, and the overlapping band is utilized to stitch them to form a single total panoramic image using a dynamic programming technique. Browsing of an environment with a series of scene spots can be conducted to see the perspective-view image of any spot in any direction by changing the viewpoint via the uses of four tools - the current perspective-view image, the total panoramic image, a walking path, and a three-view diagram. Experimental results show the feasibility of the system.

Original languageEnglish
Title of host publicationAdvances in Visual Computing - 7th International Symposium, ISVC 2011, Proceedings
Pages484-495
Number of pages12
EditionPART 1
DOIs
StatePublished - 2011
Event7th International Symposium on Visual Computing, ISVC 2011 - Las Vegas, NV, United States
Duration: 26 Sep 201128 Sep 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume6938 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Symposium on Visual Computing, ISVC 2011
Country/TerritoryUnited States
CityLas Vegas, NV
Period26/09/1128/09/11

Keywords

  • 3D imaging system
  • omni-image
  • scene spot
  • street view

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