Vanishing Point Detection for Architectural Photogrammetry
نویسنده
چکیده
A priori object information like parallelism and perpendicularity can be very useful for 3D-reconstruction, especially in architectural photogrammetry. With digital close-range imagery parallelism of object lines can be exploited by applying automatic vanishing point detection. This image analysis technique allows the detection of parallel object lines and leads to their spatial orientation in the camera system. The latter can be used for 3D-reconstruction as well as for the determination of the exterior orientation parameters of the image involved. A priori object information in the form of angles between object lines (like perpendicularity) can improve vanishing point detection considerably. The paper gives a short overview of research in vanishing point detection that has a long history in the computer vision community. A new method for vanishing point detection that is based on rigorous statistical testing and perpendicularity constraints is presented. First results of the application of this method to imagery of buildings are discussed.
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