Online learning of color transformation for interactive object recognition under various lighting conditions

Author

Makihara, Yasushi ; Shirai, Yoshiaki ; Shimada, Nobutaka

Author_Institution

Dept. of Comput.-Controlled Mech. Syst., Osaka City Univ., Suita, Japan

Volume

3

fYear

2004

fDate

23-26 Aug. 2004

Firstpage

161

Abstract

This paper describes an online learning method of color transformation for interactive object recognition. In order to recognize objects under various lighting conditions, the system estimates a color transformation from the color of an object model by observing the color of a reference object. The system first initializes a general color transformation. Next, the system automatically recognizes a target object with the color transformation. When the system fails in recognition, the system recovers the failure with user interaction. Then the system improves the color transformation with an observed color pair of the recognized target object. By repeating, this process, the system adapts to the new environment. Experiments using real-world refrigerator scenes are shown.

Keywords

image colour analysis; learning (artificial intelligence); object recognition; color transformation; interactive object recognition; lighting conditions; observed color pair; online learning method; reference object; target object recognition; user interaction; Layout; Learning systems; Mechanical systems; Object recognition; Reflectivity; Refrigeration; Robot vision systems; Service robots; Surface treatment; Target recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on

ISSN

1051-4651

Print_ISBN

0-7695-2128-2

Type

conf

DOI

10.1109/ICPR.2004.1334493

Filename

1334493