@inproceedings{a7744229cabc473ab776266f52fdd6b9,
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.",
keywords = "Multiview geometry, Shape-from-Depths (SfD), Shape-from-Silhouettes (SfS)",
author = "Jonathan Ruttle and Claudia Arellano and Rozenn Dahyot",
year = "2012",
language = "English",
isbn = "9781467310680",
series = "European Signal Processing Conference",
publisher = "European Signal Processing Conference, EUSIPCO",
pages = "1985--1989",
booktitle = "Proceedings of the 20th European Signal Processing Conference, EUSIPCO 2012",
note = "20th European Signal Processing Conference, EUSIPCO 2012 ; Conference date: 27-08-2012 Through 31-08-2012",
}