A method and system for rapidly generating building facade textures based on semantic understanding
A technology for building façade and semantic understanding, applied in the field of 3D reconstruction, can solve the problems of high repetition, long time consumption, large process, etc., and achieve the effect of low mapping efficiency and high similarity
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Embodiment 1
[0042] See Figure 1 , a rapid method for generating textures on building facades based on semantic understanding, including the following steps:
[0043] Step (1): Build a texture map library containing different first semantic component maps, in order to quickly build an elevation texture with high similarity and high realism, you need to prepare a texture map library of semantic categories in advance, such as wall texture map library, door texture map library, window texture map library, etc. The texture map in the texture map library has the corresponding first semantic label and has a high degree of realism.
[0044] Step (2): Extract the original texture map of the 3D model façade that is automatically reconstructed.
[0045]Step (3): In order to automatically identify and divide the semantics of the original texture map, such as doors, windows, walls, etc., the semantic recognition network needs to be used, therefore, the semantic recognition network training set needs to be...
Embodiment 2
[0054] See Figure 2 , a rapid generation system for building façade textures based on semantic understanding, including: acquisition module, for scanning according to different physical components to obtain the original image of the physical components; processing module, based on the original image to configure the corresponding parameter library to generate component maps; writing modules, based on the component maps and writing the corresponding first semantics in the first attribute value of the component maps; texture map library, for storing component maps with different first semantics in the corresponding storage unit to form a texture map library Identification module, which is used to extract the original texture map of the 3D model façade and recognize the second semantics of the original texture map; the label module, which is used to write a label representation in the second attribute value of the original texture map based on the second semantic map of the original ...
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