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Eye detection is required in many applications in human-computer interaction, which plays an important role in screen control, user recognition and auto-stereoscopic displays. Considering the defects of traditional methods of human-eye detection, an accurate human-eye-detection algorithm has been proposed. This paper proposes a novel technique combining the Adaboost algorithm and a hybrid matching...
The method of nondestructive testing for aircraft skin composite defects using infrared thermography is very effective. But, against the problem of how to rapidly and accurately identify for the defects of specific types needs to be further study. Based on the analysis of the existed classifier for skin damages, a complex group classifier based on lie group machine learning algorithm is introduced...
This paper proposes a robust hand posture recognition system based on RGBD images. While much research has focused on human body posture recognition, this work investigates skeleton-free hand detection, tracking and posture recognition. This work consists of two different parts. In the first part, we utilize random forest to get pixel detection of hand and mean-shift to track hand based on RGBD images...
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