Matching of Multi-exposure Images

摘要：

In this paper,a method fur matching multi-exposure images is introduced. By extracting feature points from the brightness-spaces which are built by multiplying the contrast stretching function with a series of parameters by the input image, we can obtain interesting points robustly even under large illumination, rotation and scale changes. We use the scale invariant feature transform (SIFT) description to describe these points. The experimental results show that the proposed algorithm has good effects on dealing with the matching of multiexposure images and better than the SIFT method, especially, upon the extracting the correct matching numbers.

关键词： multi-eposure image matching brightness-spaces invariant feature points

作者: Yanjun Zhou Li Yang Man Luo Shu Chang Jun Kong

作者单位: Computer School, Northeast Normal University, Key Laboratory for AppliedStatistics of MOE Jilin Province, China

会议类型: 国际会议

会议名称: The 10th International Conference on Intelligent Technologies(第十届智慧科技国际会议 InTech09)

会议地点: 桂林

会议语种:英文

页码: 58-62

在线出版日期: 2009-12-12（万方平台首次上网日期，不代表论文的发表时间）