Semantic Decomposition and Reconstructionf Residential Scenes from LiDAR DataSupplementary Material
نویسندگان
چکیده
This supplemental document provides more technical details of semantic segmentation, texture mapping, plant modeling and object replacement for other common subjects in landscape. 1 Semantic Segmentation The first stage in our system is to segment the input point cloud into semantically distinctive groups. This is done in two steps. The first is to label the input into categories, such as houses or plants. Then points labelled as houses are further refined into more detailed structural classes, such as roofs or walls. We use supervised machine learning techniques to perform these tasks.
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Semantic Decomposition and Reconstructionf Residential Scenes from LiDAR Data
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