Bundle Adjustment -- {PhD} Thesis Proposal

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00212080" target="_blank" >RIV/68407700:21230/13:00212080 - isvavai.cz</a>

Výsledek na webu

<a href="http://cmp.felk.cvut.cz/pub/cmp/articles/albl/Albl-TR-2013-30.pdf" target="_blank" >http://cmp.felk.cvut.cz/pub/cmp/articles/albl/Albl-TR-2013-30.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Bundle Adjustment -- {PhD} Thesis Proposal

Popis výsledku v původním jazyce

Bundle adjustment is an important optimization technique in computer vision. It is a key part of Structure from Motion computation and it is also applied in visual odometry. In this work we first analyze the problem of bundle adjustment and present the state of the art work on this topic, pointing out their advantages and drawbacks. Next, we investigate the open issues of bundle adjustment and ways to address the drawbacks of existing methods. The directions in which improvements can be made are precision, robustness and scalability. Followingly, we present our previous work on bundle adjustment. We show how we improved the precision of the resulting model by incorporating constrains for panoramic camera systems, utilizing their known physical properties. A novel parameterization for bundle adjustment is presented which removes limitations of other frequently used parameterizations. Finally, we emphasize main goals of the thesis which shall focus on designing a superior bundle adjustme

Název v anglickém jazyce

Bundle Adjustment -- {PhD} Thesis Proposal

Popis výsledku anglicky

Bundle adjustment is an important optimization technique in computer vision. It is a key part of Structure from Motion computation and it is also applied in visual odometry. In this work we first analyze the problem of bundle adjustment and present the state of the art work on this topic, pointing out their advantages and drawbacks. Next, we investigate the open issues of bundle adjustment and ways to address the drawbacks of existing methods. The directions in which improvements can be made are precision, robustness and scalability. Followingly, we present our previous work on bundle adjustment. We show how we improved the precision of the resulting model by incorporating constrains for panoramic camera systems, utilizing their known physical properties. A novel parameterization for bundle adjustment is presented which removes limitations of other frequently used parameterizations. Finally, we emphasize main goals of the thesis which shall focus on designing a superior bundle adjustme

Druh

V_souhrn - Souhrnná výzkumná zpráva

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

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Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Počet stran výsledku

34

Místo vydání

Praha

Název nakladatele resp. objednatele

Center for Machine Perception, K13133 FEE Czech Technical University

Verze

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