Article | Proceedings of SIGRAD 2015, June 1st and 2nd, Stockholm, Sweden | Visualizing Single-Camera Reprojection Errors using Diffusion
Göm menyn

Title:
Visualizing Single-Camera Reprojection Errors using Diffusion
Author:
Zlatko Franjcic: Qualisys AB, Gothenburg, Sweden / t2i Lab, Chalmers University of Technology, Sweden Morten Feld: t2i Lab, Chalmers University of Technology, Sweden
Download:
Full text (pdf)
Year:
2015
Conference:
Proceedings of SIGRAD 2015, June 1st and 2nd, Stockholm, Sweden
Issue:
120
Article no.:
005
Pages:
17-19
No. of pages:
3
Publication type:
Abstract and Fulltext
Published:
2015-11-24
ISBN:
978-91-7685-855-4
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


Export in BibTex, RIS or text

This paper reports on early-stage research into using dynamic scale-space representation of image point reprojection error data obtained during calibration of a single camera. In particular, we employ time-dependent simulation of the heat equation, diffusing the point reprojection errors over the entire image plane. Initial experiments show the expected effect of an originally large number of point reprojection error measurements being coalesced into a smaller number of relatively larger regions. We round off the paper by presenting ongoing work aiming to exploit the time-progression of simulations to convey further information and thereby assisting manual visual analysis.

Keywords: Image point reprojection; error measurements; heat equation

Proceedings of SIGRAD 2015, June 1st and 2nd, Stockholm, Sweden

Author:
Zlatko Franjcic, Morten Feld
Title:
Visualizing Single-Camera Reprojection Errors using Diffusion
References:

[BK10] BRONSTEIN M. M., KOKKINOS I.: Scale-invariant heat kernel signatures for non-rigid shape recognition. In Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on (2010), IEEE, pp. 1704‚Äď1711. 3


[JMF99] JAIN A. K., MURTY M. N., FLYNN P. J.: Data clustering: a review. ACM computing surveys (CSUR) 31, 3 (1999), 264‚Äď323. 2


[Jol05] JOLLIFFE I.: Principal component analysis. Wiley Online Library, 2005. 2


[Lin93] LINDEBERG T.: Scale-space theory in computer vision. Springer, 1993. 1, 2


[MDWL14] MOLIN J., DEVAN K. S., W√ÖRDELL K., LUNDSTR√ĖM C.: Feature-enhancing zoom to facilitate ki-67 hot spot detection. In SPIE Medical Imaging (2014), International Society for Optics and Photonics, pp. 90410W‚Äď90410W. 1


[WF09] WILKINSON L., FRIENDLY M.: The history of the cluster heat map. The American Statistician 63, 2 (2009). 2


[Zha00] ZHANG Z.: A flexible new technique for camera calibration. Pattern Analysis and Machine Intelligence, IEEE Transactions on 22, 11 (2000), 1330‚Äď1334. 1, 2

Proceedings of SIGRAD 2015, June 1st and 2nd, Stockholm, Sweden

Author:
Zlatko Franjcic, Morten Feld
Title:
Visualizing Single-Camera Reprojection Errors using Diffusion
Note: the following are taken directly from CrossRef
Citations:
No citations available at the moment


Responsible for this page: Peter Berkesand
Last updated: 2017-02-21