@article{oai:fukuyama-u.repo.nii.ac.jp:00008194,
 author = {藤原, 遊 and 山本, 允彦 and 服部, 進},
 journal = {福山大学工学部紀要},
 month = {Dec},
 note = {P(論文), Typical two corner detection algorithms, the Foerstner operator and the SUSAN operator, are compared in terms of applicability to stereo-matching or registration of aerial and industrial images. The Foerstner operator exploits reliability of intersection of edges in a mask (or window) derived from first derivative information to detect corners, while the SUSAN operator uses only simple counting of pixels of neighborhood assimilating to a kernel (center of every mask). Stereo digital aerial images and images of soil dumped on a truck are used in this experiment. The two detection methods do not yield equal effects on these images and the corners detected by them alter sensitively depending on parameters.},
 pages = {249--252},
 title = {標定点選定のためのコーナー検出法の比較 : Foerstner演算子とSUSAN演算子},
 volume = {28},
 year = {2004}
}