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：639-644
出版社：Copernicus Publications
摘要：It is well known that vanishing point based analysis requires images with strong perspective effects due to wide angle lenses, close objects, and often oblique viewing angles. Aerial imagery, however, normally present weak perspective effects because of long- range shootings. In this paper, we present a model-based method for reconstructing rectilinear buildings from single images. The recovery algorithm is formulated in terms of two objective functions which are based on the equivalence between the vector normal to the interpretation plane in the image space and the vector normal to the rotated interpretation plane in the object space. These objective functions are minimized with respect to the camera pose, the building dimensions, locations and orientations to obtain estimates for the structure of the scene. The comparison with the vanishing points based method indicates that our method is significantly superior over the vanishing points based method. The effectiveness of this approach is also demonstrated quantitatively through simulations and actual images
关键词：Calibration; Model based; Vanishing Points; ; Metric Reconstruction
