Hallucination-free Multi-View Stereo
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Hallucination-free Multi-View Stereo
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Trends and Topics in Computer Vision: ECCV 2010 Workshops
ISBN
978-3-642-35739-8
ISSN
0302-9743
e-ISSN
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Number of pages
13
Pages from-to
184-196
Publisher name
Springer
Place of publication
Berlin
Event location
Crete
Event date
Sep 5, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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