3D Reconstruction by Fitting Low-rank Matrices with Missing Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F05%3A03109933" target="_blank" >RIV/68407700:21230/05:03109933 - 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
3D Reconstruction by Fitting Low-rank Matrices with Missing Data
Original language description
A technique for building consistent 3D reconstructions from many wide base-line views based on fitting a low rank matrix to a matrix with missing data is presented. Rank-four submatrices of minimal, or slightly larger, size are sampled and spans of theircolumns are combined to constrain a basis of the fitted matrix. The error minimized is expressed in terms of the original subspaces which leads to a better resistance to noise compared to previous methods. More than 90% of the missing data can be handled while finding an acceptable solution efficiently. Applications to 3D reconstruction using both affine and perspective camera models are shown. For the perspective model, a new linear method based on logarithms of positive depths from cheirality is introduced to make the depths consistent with an overdetermined set of epipolar geometries. Results are shown for scenes and sequences of various types. Many images in open and closed sequences in narrow and wide base-line setups are reconstr
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
2005
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 of Conference on Computer Vision and Pattern Recognition (CVPR)
ISBN
0-7695-2372-2
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
198-205
Publisher name
IEEE Computer Society Press
Place of publication
Los Alamitos
Event location
San Diego
Event date
Jun 20, 2005
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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