Five Shades of Grey for Fast and Reliable Camera Pose Estimation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F13%3APU106337" target="_blank" >RIV/00216305:26230/13:PU106337 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Five Shades of Grey for Fast and Reliable Camera Pose Estimation

Popis výsledku v původním jazyce

We introduce here an improved design of the Uniform Marker Fields and an algorithm for their fast and reliable detection. Our concept of the marker field is designed so that it can be detected and recognized for camera pose esti- mation: in various lighting conditions, under a severe per- spective, while heavily occluded, and under a strong motion blur. Our marker field detection harnesses the fact that the edges within the marker field meet at two vanishing points and that the projected planar grid of squares can be defined by a detectable mathematical formalism. The modules of the grid are greyscale and the locations within the marker field are defined by the edges between the modules. The assumption that the marker field is planar allows for a very cheap and reliable camera pose estimation in the captured scene. The detection rates and accuracy are slightly better compared to state-of-the-art marker-based solutions. At the same time, and more importantly, our de- tector of the marker field is several times faster and the re- liable real-time detection can be thus achieved on mobile and low-power devices. We show three targeted applica- tions where the planarity is assured and where the presented marker field design and detection algorithm provide a reliable and extremely fast solution.

Název v anglickém jazyce

Five Shades of Grey for Fast and Reliable Camera Pose Estimation

Popis výsledku anglicky

We introduce here an improved design of the Uniform Marker Fields and an algorithm for their fast and reliable detection. Our concept of the marker field is designed so that it can be detected and recognized for camera pose esti- mation: in various lighting conditions, under a severe per- spective, while heavily occluded, and under a strong motion blur. Our marker field detection harnesses the fact that the edges within the marker field meet at two vanishing points and that the projected planar grid of squares can be defined by a detectable mathematical formalism. The modules of the grid are greyscale and the locations within the marker field are defined by the edges between the modules. The assumption that the marker field is planar allows for a very cheap and reliable camera pose estimation in the captured scene. The detection rates and accuracy are slightly better compared to state-of-the-art marker-based solutions. At the same time, and more importantly, our de- tector of the marker field is several times faster and the re- liable real-time detection can be thus achieved on mobile and low-power devices. We show three targeted applica- tions where the planarity is assured and where the presented marker field design and detection algorithm provide a reliable and extremely fast solution.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20206 - Computer hardware and architecture

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of CVPR

ISBN

978-0-7695-4989-7

ISSN

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e-ISSN

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Počet stran výsledku

7

Strana od-do

1384-1390

Název nakladatele

IEEE Computer Society

Místo vydání

Portland, OR

Místo konání akce

Portland, Oregon

Datum konání akce

23. 6. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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