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View interpolation for video see-through head-mounted display

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

2 Scopus citations

Abstract

By using the head-mounted display (HMD), we can have an immersive virtual reality experience. But the user cannot see any information from the real world. To solve the problem, video seethrough HMD can acquire images from real environment, and present into the HMD, then, we could build a mixed reality (MR) or augmented reality (AR) system. However, how to append and calibrate cameras on HMD for recovering real environment is still a research issue. HTC VIVE has a single camera in front of its device. [Steptoe et al. 2014] and OVRVISION Pro proposed to append dual cameras to capture left and right images. Due to the difference of viewpoint, images captured by cameras are different to what human eyes see (figure 2). Although we could recover true 3D information with a depth map, there are still some occlusion areas that we cannot recover by single camera. Therefore, multiple cameras with different positions could complement each other for reducing occlusion areas. In this work, four configurations are simulated with a synthesized scene.

Original languageEnglish
Title of host publicationSIGGRAPH 2016 - ACM SIGGRAPH 2016 Posters
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450343718
DOIs
StatePublished - 24 Jul 2016
EventACM International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2016 - Anaheim, United States
Duration: 24 Jul 201628 Jul 2016

Publication series

NameSIGGRAPH 2016 - ACM SIGGRAPH 2016 Posters

Conference

ConferenceACM International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2016
Country/TerritoryUnited States
CityAnaheim
Period24/07/1628/07/16

Bibliographical note

Funding Information:
This work was supported in part by the Ministry of Science and Technology, National Taiwan University, and Intel Corporation under Grants MOST 105-2633-E-002-001 and NTU-105R104045, and by the Ministry of Science and Technology under Grants MOST 104-2627-E-002-001.

Keywords

  • Depth image-based rendering (DIBR)
  • Video see-through
  • View interpolation

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