Multi-H: Efficient Recovery of Tangent Planes in Stereo Images

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00306055" target="_blank" >RIV/68407700:21230/16:00306055 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Multi-H: Efficient Recovery of Tangent Planes in Stereo Images
Original language description
Multi-H – an efficient method for the recovery of the tangent planes of a set of point correspondences satisfying the epipolar constraint is proposed. The problem is formulated as a search for a labeling minimizing an energy that includes a data and spatial regularization terms. The number of planes is controlled by a combination of Mean-Shift and a-expansion. Experiments on the fountain-P11 3D dataset show that Multi-H provides highly accurate tangent plane estimates. It also outperforms all state-of-the-art techniques for multi-homography estimation on the publicly available AdelaideRMF dataset. Since Multi-H achieves nearly error-free performance, we introduce and make public a more challenging dataset for multi-plane fitting evaluation.
Czech name
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Czech description
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Project
<a href="/en/project/TE01020415" target="_blank" >TE01020415: V3C - Visual Computing Competence Center</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the British Machine Vision Conference (BMVC) 2016
ISBN
1-901725-53-7
ISSN
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e-ISSN
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Number of pages
13
Pages from-to
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Publisher name
British Machine Vision Association
Place of publication
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Event location
York
Event date
Sep 19, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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