Combined 2D and 3D Edges for Occlusion Detection in Point Cloud of Terrestrial Laser Scanner

Terrestrial Laser Scanner (TLS) acquired 3D information¡ Intensity image and color image around settlement point simultaneously. The output of this device can be categorized intwo groups: 2D images and 3D point cloud. Physical and geometric properties of discontinuities and effects¡ as well as explain the position of the laser scanner and camera effects cause changes in the amount of reflected energy¡ lighting and explain the depth of the point cloud and the image is recorded. Such as machine vision¡ properties of 2D images and 3D point cloud are complementary in the field of surveying¡ can be combined and used these to understanding and objects detection. In this paper¡ we combined the image processing techniques in 2D and 3D data¡ for occlusion extraction. The point cloud and images recorded in K.N.T University was used for this purpose. Canny algorithm for edge detection in combination with Range Border Detection was used. This method has a high ability to find hidden areas¡ as one of the main problems is point cloud data. In the data sample that used¡ obtained 65 region¡ with a total area of 4719 square meters in the 8000 square meters scan area.