3D Reconstruction Quality Analysis and Its Acceleration on GPU Clusters
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F16%3APU121643" target="_blank" >RIV/00216305:26230/16:PU121643 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/EUSIPCO.2016.7760420" target="_blank" >http://dx.doi.org/10.1109/EUSIPCO.2016.7760420</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/EUSIPCO.2016.7760420" target="_blank" >10.1109/EUSIPCO.2016.7760420</a>
Alternative languages
Result language
angličtina
Original language name
3D Reconstruction Quality Analysis and Its Acceleration on GPU Clusters
Original language description
3D reconstruction has a wide variety of applications in computer graphics, robotics or digital cinema production, among others. With the rapid increase in computing power, it has become more feasible for the reconstruction algorithms to run online, even on mobile devices. Maximum likelihood estimation (MLE) is the adopted technique to deal with the sensor uncertainty. Most of the existing 3D reconstruction frameworks only recover the mean of the reconstructed geometry. Recovering also the variance is highly computationally intensive and is seldom performed. However, variance is the natural choice of estimate quality indicator. In this paper, the associated costs are analyzed and efficient but exact solutions to calculating partial matrix inverses are proposed, which apply to any general problem with many mutually independent variables. Speedups exceeding an order of magnitude are reported.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of European Signal Processing Conference 2016
ISBN
978-0-9928626-6-4
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
1-8
Publisher name
Institute of Electrical and Electronics Engineers
Place of publication
Budapest
Event location
Budapest
Event date
Aug 29, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000391891900475