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14 April 2023 A research on deep learning methods for 3D point cloud semantic segmentation
Xinyue Fang, Han Wang, Yi Wang
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Proceedings Volume 12613, International Conference on Computer Vision, Application, and Algorithm (CVAA 2022); 126130G (2023) https://doi.org/10.1117/12.2673671
Event: International Conference on Computer Vision, Application, and Algorithm (CVAA 2022), 2022, Chongqing, China
Abstract
Using a deep learning process called semantic segmentation, each pixel in an image is given a label or classification. The groups of pixels that make up the distinct categories are identified using it. In several fields, including autonomous driving, imaging in the medical field, and industrial inspection, it is now widely employed. The passage will be focusing on the three main categories way of 3D Point Cloud semantic segmentation in nowadays, which are multi-view, point cloud, and voxels. The passage will introduce the basic concepts of multi-view, 3D points cloud and voxel, and show the advantages and disadvantages of the different methods under each category by the tables. Lastly, the passage will introduce the common dataset within a table for semantic segmentation. This article will discuss deep learning based on comparing the methods of different general under the semantic segmentation and show the expectation of semantic segmentation could bring in the future.
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Xinyue Fang, Han Wang, and Yi Wang "A research on deep learning methods for 3D point cloud semantic segmentation", Proc. SPIE 12613, International Conference on Computer Vision, Application, and Algorithm (CVAA 2022), 126130G (14 April 2023); https://doi.org/10.1117/12.2673671
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KEYWORDS
Deep learning
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