摘要
本文对基于局部特征的图像模式识别的SIFT/SURF算法进行了详细描述及分析,对比两种算法的不同特点,即运算速度、收敛性、抗噪性等,并对两种算法进行了实验.实验结果对于算法改进具有显著的借鉴意义.
This paper carried out a detailed description and analysis of the image pattern recognition algorithm based on local feature. And the two group of pictures are compared, compare the recognition rate, the calculation speed, noise immunity, anti - affine transformation of the two algorithm under different environment. This paper provide specific methodology for future algorithm improvement and acceleration, and has great reference significance.
出处
《吉林建筑工程学院学报》
CAS
2014年第6期52-54,共3页
Journal of Jilin Architectural and Civil Engineering
基金
吉林省教育科学"十二五"规划2013年度课题(GH13224)
吉林建筑工程学院青年科技发展基金项目(J20111019)