Uncertainty Computation in Large 3DReconstruction

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00311945" target="_blank" >RIV/68407700:21230/17:00311945 - isvavai.cz</a>

Result on the web

<a href="http://www.springer.com/gb/book/9783319591254" target="_blank" >http://www.springer.com/gb/book/9783319591254</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-59126-1_10" target="_blank" >10.1007/978-3-319-59126-1_10</a>

Result language

angličtina

Original language name

Uncertainty Computation in Large 3DReconstruction

Original language description

Many automatic methods for reconstructing camera motion and scene geometry from a large number of images evaluate the quality of the reconstruction by error propagation from measurements to the estimated parameters. Unfortunately, uncertainty propagation is computationally challenging for large scenes and hence cannot be used for large scenes in practice. We present a new algorithm for efficient uncertainty propagation which works with millions of feature points, thousands of cameras and millions of 3D points on a single computer and achieves about twenty times speedup.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Image Analysis

ISBN

978-3-319-59125-4

ISSN

0302-9743

e-ISSN

—

Number of pages

12

Pages from-to

110-121

Publisher name

Springer International Publishing

Place of publication

Cham

Event location

Tromso

Event date

Jun 12, 2017

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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