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Image-Based Rendering of Range Data with Estimated Depth Uncertainty
July/August 2004 (vol. 24 no. 4)
pp. 34-42
ASCII Text
x 
 
Christian Hofsetz, Kim Ng, George Chen, Peter McGuinness, Nelson Max, Yang Liu , "Image-Based Rendering of Range Data with Estimated Depth Uncertainty," IEEE Computer Graphics and Applications, vol. 24, no. 4, pp. 34-42, July/August, 2004.
 
 
BibTex
x
 
@article{ 10.1109/MCG.2004.8,
author = {Christian Hofsetz and Kim Ng and George Chen and Peter McGuinness and Nelson Max and Yang Liu },
title = {Image-Based Rendering of Range Data with Estimated Depth Uncertainty},
journal ={IEEE Computer Graphics and Applications},
volume = {24},
number = {4},
issn = {0272-1716},
year = {2004},
pages = {34-42},
doi = {http://doi.ieeecomputersociety.org/10.1109/MCG.2004.8},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Computer Graphics and Applications
TI - Image-Based Rendering of Range Data with Estimated Depth Uncertainty
IS - 4
SN - 0272-1716
SP34
EP42
EPD - 34-42
A1 - Christian Hofsetz,
A1 - Kim Ng,
A1 - George Chen,
A1 - Peter McGuinness,
A1 - Nelson Max,
A1 - Yang Liu ,
PY - 2004
VL - 24
JA - IEEE Computer Graphics and Applications
ER -
 
Christian Hofsetz, Universidade do Vale do Rio dos Sinos
Kim Ng, STMicroelectronics San Diego Laboratory
George Chen, STMicroelectronics San Diego Laboratory
Peter McGuinness, STMicroelectronics San Diego Laboratory
Nelson Max, University of California, Davis
Yang Liu, University of California, Davis
It's difficult to get accurate depth information with computer vision's 3D estimation techniques. When the estimated depths are uncertain, conventional image-based rendering algorithms fails and the view rendering quality suffers. This article demonstrates an image-based rendering algorithm that can render good quality views even when the estimated depths are uncertain. Instead of only using the depth information per pixel, this approach computes a depth uncertainty region. We show how to extract the depth from the input images and how to compute the uncertainty region. The article shows how to render depth with uncertainty by splatting 3D ellipsoidal Gaussian kernels.

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Citation:
Christian Hofsetz, Kim Ng, George Chen, Peter McGuinness, Nelson Max, Yang Liu , "Image-Based Rendering of Range Data with Estimated Depth Uncertainty," IEEE Computer Graphics and Applications, vol. 24, no. 4, pp. 34-42, July-Aug. 2004, doi:10.1109/MCG.2004.8
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