Virtual-Balloon Tramping System Based on Video Recognition
Xiangxu Meng · Mini-micro Systems · 2004
This paper introduces a human-interactive system for tramping virtual balloons used by video recognition techniques. In order to recognize the object's color more accurately and more quickly, this paper derives the brightness corrective algorithm from the Lambertain theory and color sense model. Combining this method with the hue matching, the paper finally presents a brightness and hue corrective algorithm. The experimental results prove that the theory of this algorithm is corrective and reasonable, and in practice, it proves that this algorithm can highly improve the system's recognition accuracy and real-time responsibility.