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Output details

11 - Computer Science and Informatics

University of York

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Output 115 of 139 in the submission

Article title

Shape and Refractive Index from Single-View Spectro-Polarimetric Images

Type

D - Journal article

DOI

10.1007/s11263-012-0546-3

Title of journal

International Journal of Computer Vision

Article number

Volume number

101

Issue number

First page of article

ISSN of journal

0920-5691

Year of publication

2013

URL

http://link.springer.com/article/10.1007%2Fs11263-012-0546-3

Number of additional authors

Additional information

<23>Novel photometric method for simultaneously recovering shape and the wavelength dependance of refractive index from multispectral polaristation measurements. Wavelength dependance of refractive index modelled using Cauchy theory, which is not attempted before in computer vision. Work conducted in conjunction with Hancock's visiting appointment at NICTA/ANU, and supported by NICTA fund (six visits of about 3 weeks duration between 2005 and 2013). Research has taken place as part of NICTA's biosecurity program, and is funded by the Australian Department of Agriculture and Fisheries (DAF). Has been exploited by DAF as part of the monitoring of potential alien (non-indigenous) plant species.

Interdisciplinary

Cross-referral requested

Research group

H - Computer Vision and Pattern Recognition

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract