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RI | Publications | Multi-view Spatial and Temporal Interpolation for Dynamic Event Visualization
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Text only version of this site
Multi-view Spatial and Temporal Interpolation for Dynamic Event Visualization
S. Vedula
tech. report CMU-RI-TR-99-15, Robotics Institute, Carnegie Mellon University, June, 1999.
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| Abstract |
The problem of visualizing dynamic real-world events on a digital computer has been a challenging one so far. We present a framework and algorithm to model and visualize these events by creating virtual images from synthetic cameras located at arbitrary viewpoints, at arbitrary time instants. We discuss Geometry, Radiance, and Motion Map (GRAMM) as an image based representation of shape, texture, and instantaneous motion of a scene. A GRAMM allows us to create virtual images, by interpolating between sets of images taken at finitely sampled positions in location and in time. This interpolation requires algorithms for estimation of 3-D scene motion, image based interpolation, and imposition of multi-camera geometric constraints. Applications include visualization of complex surgical procedures, entertainment, or training, where the physical locations and/or image capture rates of cameras are constrained, but there is a need to accurately reconstruct the appearance from any position, at any time instant.
| Notes |
Associated center: VASC
Associated labs/groups: Vision for Virtual Environments and Virtualized RealityTM
Associated projects: Virtualized RealityTM and Scene Flow
| Text Reference |
S. Vedula, Multi-view Spatial and Temporal Interpolation for Dynamic Event Visualization, tech. report CMU-RI-TR-99-15, Robotics Institute, Carnegie Mellon University, June, 1999.
| BibTeX Reference |
@techreport{Vedula_1999_3107,
author = "Sundar Vedula",
title = "Multi-view Spatial and Temporal Interpolation for Dynamic Event Visualization",
institution = "Robotics Institute, Carnegie Mellon University",
month = "June",
year = "1999",
number = "CMU-RI-TR-99-15",
address = "Pittsburgh, PA"
}