A NOVEL RELATIVE ORIENTATION FEATURE FOR SHAPE-BASED OBJECT RECOGNITION

摘要：

We propose a novel relative orientation feature (ROF) to represent the contour or skeleton of a twodimensional object. With the aid of ROF, the shapes of two objects with fine structures can be compared. Matching with ROF is invariant with respect to translation, rotation and scaling transforms. Experimental results on hand gesture recognition demonstrate the effectiveness and efficiency of ROF with the identification rate of 98% and the average computational time less than 0.45ms/frame.

关键词： shape-based object recognition shape feature gesture recognition

作者: Yanyun Zhao Anni Cai

作者单位: Multimedia Communication and Pattern Recognition Labs Beijing University of Posts and Telecommunications, Beijing

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Network Infrastructure and Digital Content(2009年IEEE网络基础设施与数字内容国际会议 IEEE IC-NIDC2009)

会议地点: 北京

会议语种:英文

页码: 686-689

在线出版日期: 2009-11-06（万方平台首次上网日期，不代表论文的发表时间）