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Illumination normalization methods for object recognition in robot soccer vision

Doli Anggia Harahap, Anton Satria Prabuwono, Azizi Abdullah

Year
2011
Citations
3

Abstract

Changes in illumination conditions have a significant effect on the performance of robot vision tasks such as object recognition. One way to handle varying illumination is to apply illumination normalization as a pre-processing step. We compare several illumination normalization methods for the task of robot soccer. Our results show improved recognition performance under changes in intensity and brightness.

Keywords

Normalization (sociology)Artificial intelligenceComputer visionComputer scienceBrightnessCognitive neuroscience of visual object recognitionRobot visionRobot3D single-object recognitionPattern recognition (psychology)

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