Results 21 to 30 of about 6,825,217 (303)
3D CHANGE DETECTION OF POINT CLOUDS BASED ON DENSITY ADAPTIVE LOCAL EUCLIDEAN DISTANCE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 With the development of sensors and multi-view stereo matching technology, image-based dense matching point cloud data shares higher geometric accuracy and richer spectral information, and such data is therefore widely used in change detection-related ...
J. X. Chai, Y. S. Zhang, Z. Yang, J. Wu
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DeepLabV3-Refiner-Based Semantic Segmentation Model for Dense 3D Point Clouds
Remote Sensing, 2021 Three-dimensional virtual environments can be configured as test environments of autonomous things, and remote sensing by 3D point clouds collected by light detection and range (LiDAR) can be used to detect virtual human objects by segmenting collected ...
Jeonghoon Kwak, Yunsick Sung
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SURFACE OR SKELETON? AUTOMATIC HIERARCHICAL CLUSTERING OF 3D POINT CLOUDS OF BRONZE FROG DRUMS FOR HERITAGE DIGITAL TWINS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 In the era of digital twins, high-definition 3D point clouds of cultural relics, such as the bronze drums of ancient Southeast Asia and China, are increasingly available as digital heritage.
F. Xue, W. Zhang, G. Xu, Q. Zhou, Y. Wu
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SEMANTIC ENRICHMENT OF 3D POINT CLOUDS USING 2D IMAGE SEGMENTATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 3D point cloud segmentation is computationally intensive due to the lack of inherent structural information and the unstructured nature of the point cloud data, which hinders the identification and connection of neighboring points.
A. Rai +3 more
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Geometric 3D point cloud compression [PDF]
Pattern Recognition Letters, 2014 Our main goal is to compress and decompress 3D data using geometric methods.The proposed method extracts planes and makes color segmentation.The result from segmentation is triangulated and triangles stored.Thus, we can reach great ratio compression with low color and point loss.It's designed to work with man-made scenarios,but can be applied to any ...
Vicente Morell +3 more
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CLASSIFICATION OF AERIAL POINT CLOUDS WITH DEEP LEARNING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Due to their usefulness in various implementations, such as energy evaluation, visibility analysis, emergency response, 3D cadastre, urban planning, change detection, navigation, etc., 3D city models have gained importance over the last decades.
E. Özdemir, E. Özdemir, F. Remondino
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Transformers in 3D Point Clouds: A Survey
CoRR, 2022 Transformers have been at the heart of the Natural Language Processing (NLP) and Computer Vision (CV) revolutions. The significant success in NLP and CV inspired exploring the use of Transformers in point cloud processing. However, how do Transformers cope with the irregularity and unordered nature of point clouds?
Lu, Dening +5 more
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Learning Multiview 3D Point Cloud Registration [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 CVPR2020 - Camera ...
Zan Gojcic +4 more
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Leaves Segmentation in 3D Point Cloud [PDF]
, 2017 This paper presents a 3D plant segmentation method with an emphasis on segmentation of the leaves. This method is part of a 3D plant phenotyping project with a main objective that deals with the development of the leaf area over time. First, a 3D point cloud of a plant is obtained with Structure from Motion technique and the cloud is then segmented ...
Gélard, William +6 more
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EXPLORING THE POTENTIALS OF UAV PHOTOGRAMMETRIC POINT CLOUDS IN FAÇADE DETECTION AND 3D RECONSTRUCTION OF BUILDINGS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 The use of Airborne Laser Scanner (ALS) point clouds has dominated 3D buildings reconstruction research, thus giving photogrammetric point clouds less attention.
K. K. Mwangangi +3 more
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