Paper Info
Title
Extrinsic camera parameters estimation for shape-from-depths.
Abstract
3D reconstruction from multiple view images requires that camera parameters are very accurately known and standard camera calibration techniques [1] often fail to provide the required level of accuracy for the extrinsic camera parameters. Using the Kinect depth camera, we propose to estimate camera parameters by minimising the cross correlation between density functions modelled for each recorded depth images. We illustrate experimentally how this improves the modelling for estimating 3D shape from Depths.
Year
Venue
Keywords
2012
European Signal Processing Conference
Shape-from-Silhouettes (SfS),Shape-from-Depths (SfD),Multiview geometry
Field
DocType
ISSN
Cross-correlation,Iterative reconstruction,Computer vision,Computer graphics (images),Camera auto-calibration,Camera resectioning,Artificial intelligence,Estimation theory,Mathematics,Calibration,3D reconstruction
Conference
2076-1465
Citations 
PageRank 
References 
2
0.36
2
Authors
3
Name
Order
Citations
PageRank
Jonathan Ruttle1122.75
Claudia Arellano291.82
Rozenn Dahyot334032.62