DocumentCode
2472422
Title
Enforcing image consistency in multiple 3-D object modelling
Author
Grum, Matthew ; Bors, Adrian G.
Author_Institution
Dept. of Comput. Sci., Univ. of York, York, UK
fYear
2008
fDate
8-11 Dec. 2008
Firstpage
1
Lastpage
4
Abstract
In this paper we present a new approach for modelling multiple object scenes using images taken from various viewpoints. The voxel representation produced by the space carving is used for estimating the parameters of radial basis function functions (RBFs). A new methodology is proposed for correcting the modelling errors within the RBF framework, by enforcing consistency with the input images by matching along epipolar lines, and enforcing silhouette constraints using the visual hull. The proposed methodology is applied on two datasets consisting of several objects while providing quantitative and qualitative assessment.
Keywords
image processing; radial basis function networks; image consistency; multiple 3D object modelling; radial basis function functions; voxel representation; Computer science; Error correction; Image reconstruction; Impedance matching; Layout; Parameter estimation; Robustness; Shape; Surface fitting; Surface reconstruction;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location
Tampa, FL
ISSN
1051-4651
Print_ISBN
978-1-4244-2174-9
Electronic_ISBN
1051-4651
Type
conf
DOI
10.1109/ICPR.2008.4760980
Filename
4760980
Link To Document