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ACCV
1998
Springer

Appearance Based Visual Learning and Object Recognition with Illumination Invariance

9 years 6 months ago
Appearance Based Visual Learning and Object Recognition with Illumination Invariance
This paper describes a method for recognizing partially occluded objects under different levels of illumination brightness by using the eigenspace analysis. In our previous work, we developed the "eigenwindow" method to recognize the partially occluded objects in an assembly task, and demonstrated with sufficient high performance for the industrial use that the method works successfully for multiple objects with specularity under constant illumination. In this paper, we modify the eigenwindow method for recognizing objects under different illumination conditions, as is sometimes the case in manufacturing environments, by using additional color information. In the proposed method, a measured color in the RGB color space is transformed into one in the HSV color space. Then, the hue of the measured color, which is invariant to change in illumination brightness and direction, is used for recognizing multiple objects under different illumination conditions. The proposed method was...
Kohtaro Ohba, Yoichi Sato, Katsushi Ikeuchi
Added 05 Aug 2010
Updated 05 Aug 2010
Type Conference
Year 1998
Where ACCV
Authors Kohtaro Ohba, Yoichi Sato, Katsushi Ikeuchi
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