A method to quantify a descriptor's illumination variance


Autoria(s): Ross, Patrick; English, Andrew; Ball, David; Corke, Peter
Data(s)

01/12/2014

Resumo

This paper presents a new metric, which we call the lighting variance ratio, for quantifying descriptors in terms of their variance to illumination changes. In many applications it is desirable to have descriptors that are robust to changes in illumination, especially in outdoor environments. The lighting variance ratio is useful for comparing descriptors and determining if a descriptor is lighting invariant enough for a given environment. The metric is analysed across a number of datasets, cameras and descriptors. The results show that the upright SIFT descriptor is typically the most lighting invariant descriptor.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/82218/

Publicador

Australian Robotics & Automation Association ARAA

Relação

http://eprints.qut.edu.au/82218/1/Published%20paper_Corke.pdf

http://www.araa.asn.au/acra/acra2014/papers/pap120.pdf

Ross, Patrick, English, Andrew, Ball, David, & Corke, Peter (2014) A method to quantify a descriptor's illumination variance. In Australian Conference on Robotics and Automation (ACRA 2014), 2-4 December 2014, University of Melbourne, Melbourne, VIC.

Direitos

Copyright 2014 [Please consult the Authors]

Fonte

ARC Centre of Excellence for Robotic Vision; School of Electrical Engineering & Computer Science; Science & Engineering Faculty

Tipo

Conference Paper