Camera Uncertainty Computation in Large 3D Reconstruction
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F18%3A00327871" target="_blank" >RIV/68407700:21730/18:00327871 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8374581" target="_blank" >https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8374581</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/3DV.2017.00040" target="_blank" >10.1109/3DV.2017.00040</a>
Alternative languages
Result language
angličtina
Original language name
Camera Uncertainty Computation in Large 3D Reconstruction
Original language description
In computer vision, large scale Structure from Motion pipelines do not often evaluate the quality of the reconstruction by error propagation from measurements to the estimated parameters. It is a numerically sensitive and computationally challenging process, which is not easy to implement in practice for large scenes. We present a new algorithm that increases the numerical precision of the uncertainty propagation. It works with millions of feature points, thousands of cameras and millions of 3D points on a single computer. We provide an experimental comparison of our approach, as well as of previous approaches, on accurate ground truth and demonstrate that our algorithm is practical.
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
<a href="/en/project/EF15_003%2F0000468" target="_blank" >EF15_003/0000468: Intelligent Machine Perception</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
3DV 2017: International Conference on 3D Vision
ISBN
978-1-5386-2610-8
ISSN
2378-3826
e-ISSN
2475-7888
Number of pages
9
Pages from-to
282-290
Publisher name
IEEE
Place of publication
Piscataway (New Jersey)
Event location
Qingdao
Event date
Oct 10, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000454981700030