光学精密工程2011，Vol.19Issue(12)：2999-3006,8.DOI:10.3788/OPE.20111912.2999
基于Laplacian的局部特征描述算法
Local feature description algorithm based on Laplacian
摘要
Abstract
In order to balance the robustness and building complexity of a feature descriptor, a local feature description algorithm based on Laplacian is presented. It is analyzed and illustrated that the Laplacian not only has good properties to Euclidian transformation, zoom, and linear brightness changes of an image, but also can characterize the local structure of the image. On the basis of that, a 64-dimension descriptor is built with the response of Laplacian of Gaussian. Finally, the descriptor is used to match feature points with the absolute distance as similarity measurement. Simulation results indicate that the proposed descriptor can obtain better matching results for the image with zoom, rotation, blurring, illumination varying as well as smaller viewpoint changes, and the matching speed is more than 4 times that of Scale Invariable Feature Transformation (SIFT). The proposed feature description algorithm is suitable for matching the images of structured scenes,for it is insensitive to the image transformation with rotation, zoom, luminance varying, compression or small viewpoint changes.关键词
局部特征/特征描述子/图像匹配/高斯型拉普拉斯Key words
local feature/feature descriptor/ image matching/ Laplacian of Gaussian分类
信息技术与安全科学引用本文复制引用
唐永鹤,卢焕章,胡谋法..基于Laplacian的局部特征描述算法[J].光学精密工程,2011,19(12):2999-3006,8.基金项目
国家863高技术研究发展计划资助项目 （）
