A Target Recognition Matching Method with High Reliability

摘要：

Grayness correlation is a method with high reliability for target recognition. However, there is a lack of reliable guidelines for matching results. Basing on normalized correlation, this thesis uses the SURF (Speed up Robust Features) algorithm of local features of an image to verify matching results. By fully utilizing the global and local information of the image, this method ensures the reliability of the matching results. Emulation tests how that this method is hardly interfered by outside factors and can greatly save time by using parallel calculations. With a high accuracy of matching results, it is applicable for targets recognition.

关键词： SURF algorithm grayness correlation target recognition local invariable features

作者: Shenpei Chen Zhen Liu Mingyu Xia Junhui Wei

作者单位: New Star Research Institute of Applied Technology HeFei, China China Marine Development & Research Center Beijing,China

会议类型: 国际会议

会议名称: 2011 International Conference on Electronic & Mechanical Engineering and Information Technology(EMEIT 2011)(2011年机电工程与信息技术国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 4737-4740

在线出版日期: 2011-08-12（万方平台首次上网日期，不代表论文的发表时间）