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Color-Based Detection Robust to Varying Illumination Spectrum

Författare

Redaktör

  • Yu Sun

Summary, in English

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.

Publiceringsår

2013

Språk

Engelska

Sidor

120-125

Publikation/Tidskrift/Serie

Proc. IEEE Workshop on Robot Vision (WoRV2013), January 16-17, 2013, Clearwater, FL, USA

Dokumenttyp

Konferensbidrag

Förlag

IEEE - Institute of Electrical and Electronics Engineers Inc.

Ämne

  • Control Engineering

Nyckelord

  • Color-based detection
  • Color constancy
  • Robust classifier
  • Robot vision
  • Ball catcher

Conference name

IEEE Workshop on Robot Vision (WoRV) 2013

Conference date

2013-01-17

Conference place

Clearwater Beach, Florida, United States

Status

Published

Projekt

  • LU Robotics Laboratory
  • ROSETTA

Forskningsgrupp

  • LCCC