基于模型的宏观特性提取特征点研究与实现

Research and Implementation of Extracting Model's Feature Points Based on Macro Characteristics

针对目前3D模型特征点提取的运行效率和可靠性问题,提出了一种基于模型的宏观特性提取特征点的算法。在传统的特征点提取算法基础上加入了特征点的宏观检测,优化了特征点的提取效果。实验结果表明,利用该算法可以提高特征点提取的准确性和可靠性,对于存在大量噪声的模型有较好的效果。

3D models feature point extraction is currently operating efficiency and reliability issues, a new algorithm for extracting model＇s feature points based on macro characteristics is proposed. In the foundation of traditional feature point extraction algorithm macro feature point detection is added, this can optimize the extraction of feature points. Experimental results show that using the feature point extraction algorithm can improve the accuracy and reliability, and has better results for the model which has lots of noises.