Multiview Reconstruction by Gradual Enforcement of Relative Pose Transitivity

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F08%3A03150826" target="_blank" >RIV/68407700:21230/08:03150826 - 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

Multiview Reconstruction by Gradual Enforcement of Relative Pose Transitivity

Popis výsledku v původním jazyce

It is known that the relative camera pose estimation is biased, e.g., due to noise in image correspondences. This bias prevents pairwise reconstructions from accurate alignment when estimating the multiview reconstruction. This work proposes a new methodfor making the relative camera poses more consistent. New constraints on transitivity of relative rotations, translations and their combination are proposed. An optimization based on the bundle adjustment starts with relative poses consistent with pairwise image measurements. The transitivity constraints are enforced gradually by enlarging their weights. Since the enlarging is done gradually, the relative poses are kept consistent with the data during the whole optimization, preventing so falling intodistant local minima. The technique is demonstrated on difficult wide base-line image sets to provide lower residuals and more accurate reconstructions.

Název v anglickém jazyce

Multiview Reconstruction by Gradual Enforcement of Relative Pose Transitivity

Popis výsledku anglicky

It is known that the relative camera pose estimation is biased, e.g., due to noise in image correspondences. This bias prevents pairwise reconstructions from accurate alignment when estimating the multiview reconstruction. This work proposes a new methodfor making the relative camera poses more consistent. New constraints on transitivity of relative rotations, translations and their combination are proposed. An optimization based on the bundle adjustment starts with relative poses consistent with pairwise image measurements. The transitivity constraints are enforced gradually by enlarging their weights. Since the enlarging is done gradually, the relative poses are kept consistent with the data during the whole optimization, preventing so falling intodistant local minima. The technique is demonstrated on difficult wide base-line image sets to provide lower residuals and more accurate reconstructions.

Druh

O - Ostatní výsledky

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

<a href="/cs/project/1ET101210406" target="_blank" >1ET101210406: Automatická konstrukce trojrozměrných virtuálních modelů z fotografií</a><br>

Návaznosti

R - Projekt Ramcoveho programu EK

Rok uplatnění

2008

Kód důvěrnosti údajů

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