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Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)
Synthesis of 3D Model of a Magnetic Field-Influenced Body from a Single Image
University of North Carolina, Chapel Hill, USA
June 14-June 16
ISBN: 0-7695-2825-2
ASCII Text
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Cuilan Wang, Timothy S. Newman, Dennis Gallagher, "Synthesis of 3D Model of a Magnetic Field-Influenced Body from a Single Image," 3D Data Processing Visualization and Transmission, International Symposium on, pp. 1018-1025, Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06), 2006.
 
 
BibTex
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@article{ 10.1109/3DPVT.2006.133,
author = {Cuilan Wang and Timothy S. Newman and Dennis Gallagher},
title = {Synthesis of 3D Model of a Magnetic Field-Influenced Body from a Single Image},
journal ={3D Data Processing Visualization and Transmission, International Symposium on},
volume = {0},
year = {2006},
isbn = {0-7695-2825-2},
pages = {1018-1025},
doi = {http://doi.ieeecomputersociety.org/10.1109/3DPVT.2006.133},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - 3D Data Processing Visualization and Transmission, International Symposium on
TI - Synthesis of 3D Model of a Magnetic Field-Influenced Body from a Single Image
SN - 0-7695-2825-2
SP1018
EP1025
A1 - Cuilan Wang,
A1 - Timothy S. Newman,
A1 - Dennis Gallagher,
PY - 2006
KW - null
VL - 0
JA - 3D Data Processing Visualization and Transmission, International Symposium on
ER -
 
Cuilan Wang, The University of Alabama in Huntsville, USA
Timothy S. Newman, The University of Alabama in Huntsville, USA
Dennis Gallagher, NASA Marshall Space Flight Center, USA
A method for recovery of a 3D model of a planet-sized cloud-like structure that is in motion and deforming but approximately governed by magnetic field properties is described. The method allows recovery of the model from a single intensity image in which the structure?s silhouette can be observed. The method exploits envelope theory and a magnetic field model. Given one intensity image and the segmented silhouette in the image, the method proceeds without human intervention to produce the 3D model. In addition to allowing 3D model synthesis, the method?s capability to yield a very compact description offers further utility. Application of the method to real-world data is also demonstrated.
Citation:
Cuilan Wang, Timothy S. Newman, Dennis Gallagher, "Synthesis of 3D Model of a Magnetic Field-Influenced Body from a Single Image," 3dpvt, pp.1018-1025, Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06), 2006
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