Autostereoscopic Rendering of Multiple Light Fields

Light fields were introduced a decade ago as a new high‐dimensional graphics rendering model. However, they have not been thoroughly used because their applications are very specific and their storage requirements are too high. Recently, spatial imaging devices have been related to light fields. The...

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Bibliographic Details
Published in:Computer graphics forum Vol. 28; no. 8; pp. 2057 - 2067
Main Authors: Escrivá, M., Blasco, J., Abad, F., Camahort, E., Vivó, R.
Format: Journal Article
Language:English
Published: Oxford, UK Blackwell Publishing Ltd 01.12.2009
Subjects:
and object representations
autostereoscopic display
computer graphics models
I.3.3 [Computer Graphics]: Picture/Image Generation-Display algorithms
I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling-Curve
I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling–Curve, surface, solid, and object representations
I.3.6 [Computer Graphics]: Methodology and Techniques-Graphics data structures and data types
Image processing systems
Light
light fields
solid
surface
Three dimensional imaging
ISSN:0167-7055, 1467-8659
Online Access:Get full text
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Summary:Light fields were introduced a decade ago as a new high‐dimensional graphics rendering model. However, they have not been thoroughly used because their applications are very specific and their storage requirements are too high. Recently, spatial imaging devices have been related to light fields. These devices allow several users to see three‐dimensional (3D) images without using glasses or other intrusive elements. This paper presents a light‐field model that can be rendered in an autostereoscopic spatial device. The model is viewpoint‐independent and supports continuous multiresolution, foveal rendering, and integrating multiple light fields and geometric models in the same scene. We also show that it is possible to examine interactively a scene composed of several light fields and geometric models. Visibility is taken care of by the algorithm. Our goal is to apply our models to 3D TV and spatial imaging.
Bibliography:istex:9DBA00D87C6241209A20581D2D001867B5C695DB
ArticleID:CGF1431
ark:/67375/WNG-K1GPSG84-K
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ISSN:0167-7055
1467-8659
DOI:10.1111/j.1467-8659.2009.01431.x