A REVIEW OF POINT CLOUDS SEGMENTATION AND CLASSIFICATION ALGORITHMS
نویسندگان
چکیده
منابع مشابه
A Review of Point Clouds Segmentation and Classification Algorithms
Today 3D models and point clouds are very popular being currently used in several fields, shared through the internet and even accessed on mobile phones. Despite their broad availability, there is still a relevant need of methods, preferably automatic, to provide 3D data with meaningful attributes that characterize and provide significance to the objects represented in 3D. Segmentation is the p...
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3D semantic scene labeling is fundamental to agents operating in the real world. In particular, labeling raw 3D point sets from sensors provides fine-grained semantics. Recent works leverage the capabilities of Neural Networks (NNs), but are limited to coarse voxel predictions and do not explicitly enforce global consistency. We present SEGCloud, an end-to-end framework to obtain 3D point-level...
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ژورنال
عنوان ژورنال: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
سال: 2017
ISSN: 2194-9034
DOI: 10.5194/isprs-archives-xlii-2-w3-339-2017