期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B5
页码：69-74
出版社：Copernicus Publications
摘要：This paper investigates the use of interest operators for feature detection and the generation of high-accuracy object measurement, modelling, texturing and visualization. Interest operators are required as a preliminary step in the surface measurement process, to find features points for matching across multiple images. Three interest operators, namely the F.rstner, SUSAN and FAST algorithms are assessed based on speed, feature detection rate and localization. The FAST operator is found to be the optimal interest operator for close-range object reconstruction. An image pre-processing algorithm, namely the Wallis filter, is also investigated and results indicate that it greatly enhances interest operator performance
