Segmentation Based Multi-View Stereo

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F09%3A00163118" target="_blank" >RIV/68407700:21230/09:00163118 - 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
Segmentation Based Multi-View Stereo
Original language description
This paper presents a segmentation based multiview stereo reconstruction method. We address (i) dealing with uninformative texture in very homogeneous image areas and (ii) processing of large images in affordable time. To avoid searching for optimal surface position and orientation based on uninformative texture, we (over)segment images into segments of low variation of color and intensity and use each segment to generate a candidate 3D planar patch explaining the underlying 3D surface. Every point of the surface is explained by multiple candidate patches generated from image segments from different images. Observing that the correctly reconstructed surface is consistently generated from different images, the candidates that do not have consistent support by other candidates from other images are rejected. This approach leads to stable and good results.
Czech name
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Czech description
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Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
CVWW 2009: Computer Vision Winter Workshop 2009
ISBN
978-3-200-01390-2
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
Pattern Recognition & Image Processing Group, Vienna University of Technology
Place of publication
Wien
Event location
Eibiswald
Event date
Feb 4, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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