The Evaluation Methods Based on Image Features Comparison
Cheng Long Xu · Applied Mechanics and Materials · 2014
The paper studies the dancing gestures evaluation method based on images features comparison. The current methods for dancing gestures are according to the people’s vision, which are usually not accurate. Once the dancing is more complex, the conventional methods have the defects of low accuracy. Therefore, this paper proposes an optimized algorithm based on image features comparison for dancing gestures evaluation in which the dancing gestures images are collected. The features in the dancing images are extracted and compared based on the Scale Invariant Feature Transform algorithm (SIFT). The experimental results show that the improved algorithm can increase the accuracy for dancing gestures evaluation greatly.