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How to make vision system work robustly under dynamic light conditions is still a challenging research focus in computer/robot vision community. In this paper, a novel camera parameters auto-adjusting technique based on image entropy is proposed. Firstly image entropy is defined and its relationship with camera parameters is verified by experiments. Then how to optimize the camera parameters based...
Recognizing the FIFA ball without color classification is a significant ability for robocup middle size league soccer robots to play competition without the constraint of current color-coded environment. This paper describes a novel method to recognize the ball based on omni-directional vision system and perspective camera without color classification. Firstly the imaging character of the omni-directional...
The recognition of colored objects is very important for robot vision in RoboCup Middle Size League competition. Dynamically changing light conditions can cause lots of difficulties to it. This paper describes a robust object recognition method based on our omni-directional vision system for our RoboCup Middle Size League robot-NuBot. The conditional probability density distributions of the YUV values...
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