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PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud [PDF]
Computer Vision and Pattern Recognition, 2018 In this paper, we propose PointRCNN for 3D object detection from raw point cloud. The whole framework is composed of two stages: stage-1 for the bottom-up 3D proposal generation and stage-2 for refining proposals in the canonical coordinates to obtain ...
Shaoshuai Shi +2 more
semanticscholar +1 more source
Attention-Based Point Cloud Edge Sampling [PDF]
Computer Vision and Pattern Recognition, 2023 Point cloud sampling is a less explored research topic for this data representation. The most commonly used sampling methods are still classical random sampling and farthest point sampling.
Chengzhi Wu +3 more
semanticscholar +1 more source
A partial overlapping point cloud registration method based on dynamic feature matching
Dianxin kexue, 2021 The point cloud registration method can effectively complete the registration of point clouds with different overlap rates and various sizes, and ensure the accuracy of the 3D reconstruction model.To address the above issues, a partial overlapping point ...
Hui DU +3 more
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COMPARISON OF UAV IMAGERY-DERIVED POINT CLOUD TO TERRESTRIAL LASER SCANNER POINT CLOUD [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 A small unmanned aerial vehicle (UAV) with survey-grade GNSS positioning is used to produce a point cloud for topographic mapping and 3D reconstruction.
S. Peterson, J. Lopez, R. Munjy
doaj +1 more source
Virtual Namesake Point Multi-Source Point Cloud Data Fusion Based on FPFH Feature Difference
Sensors, 2021 There are many sources of point cloud data, such as the point cloud model obtained after a bundle adjustment of aerial images, the point cloud acquired by scanning a vehicle-borne light detection and ranging (LiDAR), the point cloud acquired by ...
Li Zheng, Zhukun Li
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The Devils in the Point Clouds: Studying the Robustness of Point Cloud Convolutions
, 2021 Recently, there has been a significant interest in performing convolution over irregularly sampled point clouds. Since point clouds are very different from regular raster images, it is imperative to study the generalization of the convolution networks more closely, especially their robustness under variations in scale and rotations of the input data ...
Li, Xingyi +3 more
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Determinação do ponto de névoa em surfactantes não iônicos por espectroscopia de impedância elétrica
Química Nova, 2010 In this paper, we analyze the use of electrical impedance spectroscopy applied to determination of cloud point. The slope of admittance measured at 100 kHz is reduced to temperature above the critical value which characterizes the phase transition, in a ...
Sandro Vagner de Lima +1 more
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Remote Sensing, 2021 Point cloud classification is a key technology for point cloud applications and point cloud feature extraction is a key step towards achieving point cloud classification.
Yong Li +5 more
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SeedFormer: Patch Seeds based Point Cloud Completion with Upsample Transformer [PDF]
European Conference on Computer Vision, 2022 Point cloud completion has become increasingly popular among generation tasks of 3D point clouds, as it is a challenging yet indispensable problem to recover the complete shape of a 3D object from its partial observation.
Hao Zhou +6 more
semanticscholar +1 more source
SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer [PDF]
IEEE International Conference on Computer Vision, 2021 Point cloud completion aims to predict a complete shape in high accuracy from its partial observation. However, previous methods usually suffered from discrete nature of point cloud and unstructured prediction of points in local regions, which makes it ...
Peng Xiang +6 more
semanticscholar +1 more source