Abstract
Seamless texture mapping is one of the key technologies for photorealistic 3D texture reconstruction. In this paper, a method of rapid texture optimization of 3D urban reconstruction based on oblique images is proposed aiming at the existence of texture fragments, seams, and inconsistency of color in urban 3D texture mapping based on low-altitude oblique images. First, we explore implementing radiation correction on the experimental images with a radiation procession algorithm. Then, an efficient occlusion detection algorithm based on OpenGL is proposed according to the mapping relation between the terrain triangular mesh surface and the images to implement the occlusion detection of the visible texture on the triangular facets as well as create a list of visible images. Finally, a texture clustering algorithm is put forward based on Markov Random Field utilizing the inherent attributes of the images and solve the energy function minimization by Graph-Cuts. The experimental results display that the method is capable of decreasing the existence of texture fragments, seams, and inconsistency of color in the 3D texture model reconstruction.
Highlights
Low-altitude oblique images can be photographed from the side and the top of the city, which can provide a precise 3D surface model, and obtain reliable texture information, becoming one of the principal data resources in urban 3D texture reconstruction and updating
In order to get a superior solution of these problems, many studies started to address how to choose the priority images as the texture resource for seamless texture mapping in a triangular mesh model
From left to right in order are the original oblique image, Wallis processing result, dark channel processingresult, result, and depth map estimated by oblique image, Wallis processing channel processing depth map estimated
Summary
Low-altitude oblique images can be photographed from the side and the top of the city, which can provide a precise 3D surface model, and obtain reliable texture information, becoming one of the principal data resources in urban 3D texture reconstruction and updating. Problems existed in low-altitude oblique images—such as great changes in field of view, large volume of data, inconsistency of light, perspective distortion, and occlusion—will the vast texture fragments and the discontinuity of color common, which needs to be solved. Research about these problems has been carried out in numerous of papers. The methods above requireresulting excessiveincomputer resources account of these problems, a method of rapid texture optimization will be presented in this paper to resulting in low efficiency On account of these problems, a method of rapid texture optimization accelerate and improve quality of seamless urban the texture reconstruction.
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