An Automatic Image Mosaic Algorithm Based on SURF Detector

摘要：

In this paper, an image mosaic method based on SURF feature matching is proposed, which consists of the following steps: First, detecting SURF feature descriptor and finding matching pairs by mutual matching; Then, modified PROSAC (Progressive Sample Consensus) is proposed to remove the mismatch pairs and estimate homography matrix; Finally, adjusting the image to the same coordinate by transformation matrix and blending image by weight averaged linear blending. The experiment results show that the proposed method can detect descriptor rapidly and blend images accurately.

关键词： image mosaic SURF PROSAC image registration image blending

作者: Meide Shao Ping Shi Xuyuan Gu Qingqing Liu

作者单位: Information Engineering School Communication University of China Beijing, China

会议类型: 国际会议

会议名称: Third International Conference on Digital Image Processing(ICDIP 2011)(第三届数字图像处理国际会议)

会议地点: 成都

会议语种:英文

页码: 537-542

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）