Efficient panoramic sampling of real-world environments for image-based stereoscopic telepresence

Luis E. Gurrieri; Eric Dubois

doi:10.1117/12.908794

27 February 2012 Efficient panoramic sampling of real-world environments for image-based stereoscopic telepresence

Luis E. Gurrieri, Eric Dubois

Proceedings Volume 8288, Stereoscopic Displays and Applications XXIII; 82882D (2012) https://doi.org/10.1117/12.908794
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States

Abstract

A key problem in telepresence systems is how to effectively emulate the subjective experience of being there delivered by our visual system. A step toward visual realism can be achieved by using high-quality panoramic snapshots instead of computer-based models of the scene. Furthermore, a better immersive illusion can be created by enabling the free viewpoint stereoscopic navigation of the scene, i.e. using omnistereoscopic imaging. However, commonly found implementation constraints of telepresence systems such as acquisition time, rendering complexity, and storage capacity, make the idea of using stereoscopic panoramas challenging. Having these constraints in mind, we developed a technique for the efficient acquisition and rendering of omnistereoscopic images based on sampling the scene with clusters of three panoramic images arranged in a controlled geometric pattern. Our technique can be implemented with any off-the-shelf panoramic cameras. Furthermore, it does not require neither the acquisition of additional depth information of the scene nor the estimation of camera parameters. The low the computational complexity and reduced data overhead of our rendering process make it attractive for the large scale stereoscopic sampling in a variety of scenarios.

Citation Download Citation

Luis E. Gurrieri and Eric Dubois "Efficient panoramic sampling of real-world environments for image-based stereoscopic telepresence", Proc. SPIE 8288, Stereoscopic Displays and Applications XXIII, 82882D (27 February 2012); https://doi.org/10.1117/12.908794

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available