Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia)
Automatic keypoints extraction from UAV image with refine and improved scale invariant features transform (RI-SIFT)
January 2016 • Hayder Dibs, Mohammed Oludare Idrees, Vahideh Saeidi, Shattri Mansor
In this study, the performance of Refine and Improved Scale Invariant Features Transform (RI-SIFT) recently developed and patented to automatically extract key points from UAV images was examined. First the RI- SIFT algorithm was used to detect and extract CPs from two overlapping UAV images. To evaluate the performance of RI-SIFT, the original SIFT which employs nearest neighbour (NN) algorithms was used to extract keypoints from the same adjacent UA V images. Finally, the quality of the points extracted with RI-…