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Sea of Images Daniel G. Aliaga Thomas Funkhouser Dimah Yanovsky Ingrid Carlbom
 

Summary: Sea of Images
Daniel G. Aliaga Thomas Funkhouser Dimah Yanovsky Ingrid Carlbom
Lucent Bell Labs Princeton University Harvard University Lucent Bell Labs
aliaga@bell-labs.com funk@cs.princeton.edu yanovsky@fas.harvard.edu carlbom@bell-labs.com
ABSTRACT
A long-standing research problem in computer graphics is to repro-
duce the visual experience of walking through a large photorealistic
environment interactively. On one hand, traditional geometry-based
rendering systems fall short of simulating the visual realism of a
complex environment. On the other hand, image-based rendering
systems have to date been unable to capture and store a sampled
representation of a large environment with complex lighting and
visibility effects.
In this paper, we present a "Sea of Images," a practical approach
to dense sampling, storage, and reconstruction of the plenoptic
function in large, complex indoor environments. We use a motor-
ized cart to capture omnidirectional images every few inches on a
eye-height plane throughout an environment. The captured images
are compressed and stored in a multiresolution hierarchy suitable
for real-time prefetching during an interactive walkthrough. Later,

  

Source: Aliaga, Daniel G. - Department of Computer Sciences, Purdue University
Funkhouser, Thomas A. - Department of Computer Science, Princeton University
Singh, Jaswinder Pal - Department of Computer Science, Princeton University

 

Collections: Computer Technologies and Information Sciences