An effective blur invariant interest point detector

摘要：

　　In order to extract interest point under some object deformations,such as image blur,geometric deformation et al.,an invariant interest point detector based on gabor multiscalespace was proposed.Firstly,build the gabor multiscale-space representation by smoothing the image with a series of gabor filters; secondly,detect the interest points by searching maximum response in the gabor multiscale-space and determine the characteristic scale directly; finally,describe the local structure of interest point.The experimental data demonstrate that the proposed detector obtains the best performance under image blur in terms of repeatability and matching score.

关键词： gabor filter multiscale-space characteristic scale image blur

作者: Jin Xie Zixing Cai

作者单位: School of Information Science and Engineering,Central South University,Changsha,China;College of Pol School of Information Science and Engineering,Central South University,Changsha,China

会议类型: 国际会议

会议名称: 2013中国虚拟现实大会暨ICVRV2013

会议地点: 西安

会议语种:英文

页码: 281-284

在线出版日期: 2013-09-14（万方平台首次上网日期，不代表论文的发表时间）