Extraction of Surface Orientation Using Gray Level Difference Statistics
The Processes to reconstruct a 3D shape from a 2D image is one of the important problems in computer vision. In this paper we deal with the problem to extract the object surface orientation from a monocular view image, which is necessary in 3D reconstruction. Generally the process becomes ill-posed problem, because the 3D shape of an object is condensed onto the image by the projection. Therefore the solution of the orientation is not guaranteed to be unique, unless some supplement information is introduced about the object or the surface.
KeywordsProbability Density Function Image Plane Object Plane Object Surface Surface Orientation
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