A Research of Feature-based Image Mosaic Algorithm

摘要：

Due to the stitching precision and speed of existing image mosaicing technique, this paper summarizes three common based on Feature matching algorithm: Harris corner detection algorithm, SIFT (Scale Invariant Feature Transform) algorithm, SURF (Speeded-Up Robust Features) algorithm. This paper describes the principle of three algorithm respectively. The performance of the algorithm are compared for corresponding points computing time and stitching precision. Harris algorithms perform of extracting angular points was worst, and lowest effectiveness of finding corresponding points. SIFT presents its stability for for rotation and scale in most situation, although it is slow. SURF is the fastest one with good performance as same as SIFT.

关键词： image mosaic extracts angular points Harris SIFT SURF algorithm

作者: Lei Yang Xiaoyu Wu JunZhai HuiLi

作者单位: 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: 861-864

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）