Color-Based Detection Robust to Varying Illumination Spectrum
Linderoth, Magnus LU ; Robertsson, Anders LU and Johansson, Rolf LU
(2013)
IEEE Workshop on Robot Vision (WoRV) 2013
p.120-125
- Abstract
- In color-based detection methods, varying illumination
often causes problems, since an object may be perceived
to have different colors under different lighting conditions.
In the field of color constancy this is usually handled by
estimating the illumination spectrum and accounting for its
effect on the perceived color.
In this paper a method for designing a robust classifier
is presented, i.e., instead of estimating and adapting to
different lighting conditions, the classifier is made wider
to detect a colored object for a given range of lighting
conditions. This strategy also naturally handles the case
where different parts of an... (More) - In color-based detection methods, varying illumination
often causes problems, since an object may be perceived
to have different colors under different lighting conditions.
In the field of color constancy this is usually handled by
estimating the illumination spectrum and accounting for its
effect on the perceived color.
In this paper a method for designing a robust classifier
is presented, i.e., instead of estimating and adapting to
different lighting conditions, the classifier is made wider
to detect a colored object for a given range of lighting
conditions. This strategy also naturally handles the case
where different parts of an object are illuminated by
different light sources at the same time. Only one set of
training data per light source has to be collected, and
then the detector can handle any combination of the light
sources for a large range of illumination intensities. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3349448
- author
- Linderoth, Magnus
LU
; Robertsson, Anders
LU
and Johansson, Rolf
LU
- organization
- publishing date
- 2013
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Color-based detection, Color constancy, Robust classifier, Robot vision, Ball catcher
- host publication
- Proc. IEEE Workshop on Robot Vision (WoRV2013), January 16-17, 2013, Clearwater, FL, USA
- editor
- Sun, Yu
- pages
- 6 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- IEEE Workshop on Robot Vision (WoRV) 2013
- conference location
- Clearwater Beach, Florida, United States
- conference dates
- 2013-01-17
- external identifiers
-
- wos:000325279400019
- scopus:84880299828
- project
- RobotLab LTH
- ROSETTA
- language
- English
- LU publication?
- yes
- additional info
- key=linderoth_etal2013worv
- id
- a19dde80-bca9-4ccb-b14f-0ae0402baae5 (old id 3349448)
- date added to LUP
- 2016-04-04 10:56:24
- date last changed
- 2023-01-05 23:10:31
@inproceedings{a19dde80-bca9-4ccb-b14f-0ae0402baae5,
abstract = {{In color-based detection methods, varying illumination<br/><br>
often causes problems, since an object may be perceived<br/><br>
to have different colors under different lighting conditions.<br/><br>
In the field of color constancy this is usually handled by<br/><br>
estimating the illumination spectrum and accounting for its<br/><br>
effect on the perceived color.<br/><br>
<br/><br>
In this paper a method for designing a robust classifier<br/><br>
is presented, i.e., instead of estimating and adapting to<br/><br>
different lighting conditions, the classifier is made wider<br/><br>
to detect a colored object for a given range of lighting<br/><br>
conditions. This strategy also naturally handles the case<br/><br>
where different parts of an object are illuminated by<br/><br>
different light sources at the same time. Only one set of<br/><br>
training data per light source has to be collected, and<br/><br>
then the detector can handle any combination of the light<br/><br>
sources for a large range of illumination intensities.}},
author = {{Linderoth, Magnus and Robertsson, Anders and Johansson, Rolf}},
booktitle = {{Proc. IEEE Workshop on Robot Vision (WoRV2013), January 16-17, 2013, Clearwater, FL, USA}},
editor = {{Sun, Yu}},
keywords = {{Color-based detection; Color constancy; Robust classifier; Robot vision; Ball catcher}},
language = {{eng}},
pages = {{120--125}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Color-Based Detection Robust to Varying Illumination Spectrum}},
url = {{https://lup.lub.lu.se/search/files/5656862/3626476.pdf}},
year = {{2013}},
}