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Point Sampling Net: Revolutionizing Instance Segmentation in Point Cloud Data
IEEE Access, 2023 Today, there is a great need for 3D instance segmentation, which has several uses in robotics and augmented reality. Unlike projective observations like 2D photographs, 3D models offer a metric reconstruction of the sceneries without occlusion or scale ambiguity of the environment.
Nandhagopal Gomathi +3 more
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Deep FusionNet for Point Cloud Semantic Segmentation [PDF]
, 2020 Many point cloud segmentation methods rely on transferring irregular points into a voxel-based regular representation. Although voxel-based convolutions are useful for feature aggregation, they produce ambiguous or wrong predictions if a voxel contains points from different classes.
Zhang, F, Fang, J, Wah, B, Torr, PHS
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Key objects’ semantic segmentation and power line extraction from the electric power corridor point cloud are critical steps in power line inspection.
Xiuning Liu +5 more
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Indoor Scene Segmentation Model Using Three-Dimensional Point Cloud Based on Super Point Graph Network [PDF]
Jisuanji gongcheng, 2021 The samples of the existing current point cloud datasets are unbalanced, and PointNet can not effectively utilize the neighborhood information of the point cloud.To address the problem, a three-dimensional scene segmentation method using point cloud is ...
HUO Zhanqiang, WANG Yongjie, LUO Fen, QIAO Yingxu
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Point Cloud Structural Parts Extraction based on Segmentation Energy Minimization [PDF]
, 2015 In this work we consider 3D point sets, which in a typical setting represent unorganized point clouds. Segmentation of these point sets requires first to single out structural components of the unknown surface discretely approximated by the point cloud ...
Azimi, Iman +4 more
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Meshing Genus-1 Point Clouds Using Discrete One-Forms [PDF]
, 2006 We present an algorithm to mesh point clouds sampled from a closed manifold surface of genus 1. The method relies on a doubly periodic global parameterization of the point cloud to the plane, so no segmentation of the point cloud is required.
Citable Link +6 more
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View suggestion for interactive segmentation of indoor scenes [PDF]
, 2017 Point cloud segmentation is a fundamental problem. Due to the complexity of real-world scenes and the limitations of 3D scanners, interactive segmentation is currently the only way to cope with all kinds of point clouds. However, interactively segmenting
Chen, Kang +3 more
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Deep Projective 3D Semantic Segmentation
, 2017 Semantic segmentation of 3D point clouds is a challenging problem with numerous real-world applications. While deep learning has revolutionized the field of image semantic segmentation, its impact on point cloud data has been limited so far.
AE Johnson +6 more
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Automatic morphologic analysis of quasi-periodic masonry walls from LiDAR [PDF]
, 2016 This article presents a novel segmentation algorithm that allows the automatic segmentation of masonry blocks from a 3D point cloud acquired with LiDAR technology, for both stationary and mobile devices. The point cloud segmentation algorithm is based on
Beare +24 more
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PUPS: Point Cloud Unified Panoptic Segmentation
Proceedings of the AAAI Conference on Artificial Intelligence, 2023 Point cloud panoptic segmentation is a challenging task that seeks a holistic solution for both semantic and instance segmentation to predict groupings of coherent points. Previous approaches treat semantic and instance segmentation as surrogate tasks, and they either use clustering methods or bounding boxes to gather instance groupings with costly ...
Su, Shihao +6 more
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