Research on SVD-Based Template-Updating Strategy

摘要：

In this paper, the problem of template-updating strategy in template matching algorithm based on singular value decomposition (SVD) is discussed. The SVD has robust performance that is invariant to image disturbance and it makes the singular value credible to represent the image as an algebraic feature. A template-updating strategy is proposed to update the current template when the variety of the target image occurs as a tendency and not a random case. Experiments results of the presented method show that the proposed strategy is practical and efficient in the process of template updating.

关键词： image matching template-updating strategy singular value decomposition.

作者: Wang Guogang Zhang Zhijia Wang Ying

作者单位: Shenyang Institute of Chemical Technology, Shenyang, China Shenyang University of Technology, Shenyang, China

会议类型: 国际会议

会议名称: Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

会议地点: 北京

会议语种:英文

页码: 944-947

在线出版日期: 2006-07-17（万方平台首次上网日期，不代表论文的发表时间）