Gradual-SURF

摘要：

In order to improve the high complexity problem of SIFT, SURF algorithm uses the DoH (Determinant of the Hessian) which is simplified and approximate. This improvement not only guarantees the stability of the algorithm, but also increases the calculation efficiency. But when the SURF simplifies the DoH gaussian second order differential template, some of the image gradient information were lost. Therefore, an Gradual SURF(G-SURF) operator is proposed in the this paper, and the gradient information is added in the process. Experimental results show that the proposed improved SURF operator can get a more stable effect, and improve calculation complexity at the same time.

关键词： Stereo matching Comer detection SURF SIFT

作者: Xiangsheng Huang JieWang MandunZhang JunZhai

作者单位: Institute of Automation, Chinese Academy of Sciences of China,Beijing,China Hebei University of Technology,Tianjin,China Digital Media Department. Communication University of China,Beijing,China

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 920-923

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）