kNN-based feature learning network for semantic segmentation of point cloud data

Published: 01 Jan 2021, Last Modified: 08 Apr 2025Pattern Recognit. Lett. 2021EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•A three-part network for semantic segmentation of unorganized point clouds is presented.•The kNN algorithm is utilized to extract local features from the point features.•The point, local, and global features are concatenated for semantic segmentation.•The similarity loss and segmentation loss are integrated in the segmentation network.•Experiments on indoor and outdoor datasets show the promotion in segmentation accuracy.
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