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Gao, W. (author), Nan, L. (author), Boom, Bas (author), Ledoux, H. (author)
We introduce a novel deep learning-based framework to interpret 3D urban scenes represented as textured meshes. Based on the observation that object boundaries typically align with the boundaries of planar regions, our framework achieves semantic segmentation in two steps: planarity-sensible over-segmentation followed by semantic...
journal article 2023
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Gao, W. (author), Nan, L. (author), Boom, Bas (author), Ledoux, H. (author)
Recent developments in data acquisition technology allow us to collect 3D texture meshes quickly. Those can help us understand and analyse the urban environment, and as a consequence are useful for several applications like spatial analysis and urban planning. Semantic segmentation of texture meshes through deep learning methods can enhance...
journal article 2021