Hallucination-free Multi-View Stereo

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00175513" target="_blank" >RIV/68407700:21230/12:00175513 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-642-35740-4_15" target="_blank" >http://dx.doi.org/10.1007/978-3-642-35740-4_15</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-642-35740-4_15" target="_blank" >10.1007/978-3-642-35740-4_15</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Hallucination-free Multi-View Stereo

Popis výsledku v původním jazyce

We present a multi-view stereo method that avoids producing hallucinated surfaces which do not correspond to real surfaces. Our approach to 3D reconstruction is based on the minimal s-t cut of the graph derived from the Delaunay tetrahedralization of a dense 3D point cloud, which produces water-tight meshes. This is often a desirable property but it hallucinates surfaces in complicated scenes with multiple objects and free open space. For example, a sequence of images obtained from a moving vehicle often produces meshes where the sky is hallucinated because there are no images looking from the above to the ground plane. We present a method for detecting and removing such surfaces. The method is based on removing perturbation sensitive parts of the reconstruction using multiple reconstructions of perturbed input data. We demonstrate our method on several standard datasets often used to benchmark multi-view stereo and show that it outperforms the state-ofthe- art techniques.

Název v anglickém jazyce

Hallucination-free Multi-View Stereo

Popis výsledku anglicky

We present a multi-view stereo method that avoids producing hallucinated surfaces which do not correspond to real surfaces. Our approach to 3D reconstruction is based on the minimal s-t cut of the graph derived from the Delaunay tetrahedralization of a dense 3D point cloud, which produces water-tight meshes. This is often a desirable property but it hallucinates surfaces in complicated scenes with multiple objects and free open space. For example, a sequence of images obtained from a moving vehicle often produces meshes where the sky is hallucinated because there are no images looking from the above to the ground plane. We present a method for detecting and removing such surfaces. The method is based on removing perturbation sensitive parts of the reconstruction using multiple reconstructions of perturbed input data. We demonstrate our method on several standard datasets often used to benchmark multi-view stereo and show that it outperforms the state-ofthe- art techniques.

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

—

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název statě ve sborníku

Trends and Topics in Computer Vision: ECCV 2010 Workshops

ISBN

978-3-642-35739-8

ISSN

0302-9743

e-ISSN

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Počet stran výsledku

13

Strana od-do

184-196

Název nakladatele

Springer

Místo vydání

Berlin

Místo konání akce

Crete

Datum konání akce

5. 9. 2010

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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