SIFT Algorithm Based on the Large-format Image Block

摘要：

By studying the Scale-Invariant Feature Transform (SIFT) operator , we know the process require calculate the whole scale spaces of the input image ,costing the expensive time and taking up a lot of memory resources. Especially for the large aerial image, the SIFT operator can not process and doesn t generate keypoints. Therefore we implement the SIFT operator on large-format aerial images, and show that it can quickly and accurately detect keypoints in the large-format aerial image for automatic matching.

作者: Bingxuan Guo Xianyi Li Chunsen Zhang Tingqi Deng Linhui Li

作者单位: State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan Univ Xian University of Science and Technology, Xian, Shannxi, 710054, China

会议类型: 国际会议

会议名称: 2010 International Conference on Audio,Language and Image Processing(2010年音频、语言与图像处理国际会议 ICALIP 2010)

会议地点: 上海

会议语种:英文

页码: 458-462

在线出版日期: 2010-11-23（万方平台首次上网日期，不代表论文的发表时间）