Results 41 to 50 of about 107,458 (327)
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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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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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
doaj +1 more source
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
doaj +1 more source
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
core +4 more sources
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
core +1 more source
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
openaire +2 more sources
Point cloud segmentation using hierarchical tree for architectural models
, 2018 Recent developments in the 3D scanning technologies have made the generation of highly accurate 3D point clouds relatively easy but the segmentation of these point clouds remains a challenging area.
Butt, Zain +3 more
core +1 more source
Extraction of main levels of a building from a large point cloud [PDF]
, 2019 Horizontal levels are references entities, the base of man-made environments. Their creation is the first step for various applications including the BIM (Building Information Modelling).
Ferrarese, Stefano +3 more
core +1 more source