Towards Complete Free-Form Reconstruction of Complex 3D cenes from an Unordered Set of Uncalibrated Images
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F04%3A03105689" target="_blank" >RIV/68407700:21230/04:03105689 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Towards Complete Free-Form Reconstruction of Complex 3D cenes from an Unordered Set of Uncalibrated Images
Original language description
This paper describes a method for accurate dense reconstruction of a complex scene from a small set of high-resolution unorganized still images taken by a hand-held digital camera. A fully automatic data processing pipeline is proposed. Highly discriminative features are first detected in all images. Correspondences are then found in all image pairs by wide-baseline stereo matching and used in a scene structure and camera reconstruction step that can cope with occlusion and outliers. Image pairs suitable for dense matching are automatically selected, rectified and used in dense binocular matching. The dense point cloud obtained as the union of all pairwise reconstructions is fused by local roximation using oriented geometric primitives. For texturing,every primitive is mapped on the image with the best resolution.
Czech name
Není k dispozici
Czech description
Není k dispozici
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
<a href="/en/project/1ET101210406" target="_blank" >1ET101210406: Automatic 3D Virtual Model Builder from Photographs</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2004
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings: ECCV Workshop Statistical Methods in Video Processing
ISBN
3-540-23989-8
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
1-12
Publisher name
Springer
Place of publication
Berlin
Event location
Prague
Event date
May 16, 2004
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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