Seamless texture mapping is one of the key technologies for photorealistic 3D texture\nreconstruction. In this paper, a method of rapid texture optimization of 3D urban reconstruction\nbased on oblique images is proposed aiming at the existence of texture fragments, seams, and\ninconsistency of color in urban 3D texture mapping based on low-altitude oblique images. First, we\nexplore implementing radiation correction on the experimental images with a radiation procession\nalgorithm. Then, an efficient occlusion detection algorithm based on OpenGL is proposed according\nto the mapping relation between the terrain triangular mesh surface and the images to implement\nthe occlusion detection of the visible texture on the triangular facets as well as create a list of visible\nimages. Finally, a texture clustering algorithm is put forward based on Markov Random Field utilizing\nthe inherent attributes of the images and solve the energy function minimization by Graph-Cuts.\nThe experimental results display that the method is capable of decreasing the existence of texture\nfragments, seams, and inconsistency of color in the 3D texture model reconstruction.
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