Illumination normalization methods for object recognition in robot soccer vision

摘要

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.