22
Views
0
CrossRef citations to date
0
Altmetric
Original Articles

Single-Monitor-Mirror Stereoscopic Display

&
Pages 85-97 | Received 18 Sep 2014, Accepted 09 Mar 2015, Published online: 09 Jul 2015
 

Abstract

A new single-monitor-mirror stereoscopic display is presented. The stereoscopic display system is composed of one monitor and one acrylic first-surface mirror. The mirror reflects one image for one of the eyes. The geometrical transformations to compute correctly the stereo pair are derived and presented. System considerations such as mirror placement and implications are also discussed.

In contrast to other similar solutions that use fixed configurations, we try to optimize the display area by controlling the mirror placement. Consequently, one of the images needs to be skewed. Advantages of the system include absence of ghosting and flickering.

We also developed the rendering engine for direct volume rendering (DVR) of volumetric datasets mostly for medical imaging visualization and using OpenGL for polygonal datasets and stereoscopic digital photography. The skewing process in this case is integrated into the ray-casting of DVR. Using geometrical transformations, we can compute precisely the directions of the rays, producing accurate stereo pairs. A similar operation is also performed using OpenGL.

Notes

Additional information

Funding

This work was funded by the Visualization programme of the Swedish Foundation for Strategic Research, the KK Foundation, Vinnova, Invest in Sweden Agency, Vårdalstiftelsen (grant 2009/0079) and the Swedish Childhood Cancer Foundation (grant no. MT2013-0036).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access
  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart
* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.