Results 41 to 50 of about 165,702 (282)
3D building model generation from MLS point cloud and 3D mesh using multi-source data fusion
International Journal of Applied Earth Observations and Geoinformation, 2023 The high-precision generation of 3D building models is a controversial research topic in the field of smart cities. However, due to the limitations of single-source data, existing methods cannot simultaneously balance the local accuracy, overall ...
Weiquan Liu +9 more
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CLASSIFICATION OF AERIAL PHOTOGRAMMETRIC 3D POINT CLOUDS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Abstract. We present a powerful method to extract per-point semantic class labels from aerial photogrammetry data. Labelling this kind of data is important for tasks such as environmental modelling, object classification and scene understanding. Unlike previous point cloud classification methods that rely exclusively on geometric features, we show that
C. Becker +4 more
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PnP-3D: A Plug-and-Play for 3D Point Clouds [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 With the help of the deep learning paradigm, many point cloud networks have been invented for visual analysis. However, there is great potential for development of these networks since the given information of point cloud data has not been fully exploited.
Shi Qiu, Saeed Anwar, Nick Barnes
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Towards online mobile mapping using inhomogeneous lidar data [PDF]
, 2016 In this paper we present a novel approach to quickly obtain detailed 3D reconstructions of large scale environments. The method is based on the consecutive registration of 3D point clouds generated by modern lidar scanners such as the Velodyne HDL-32e or
Goeman, Werner +4 more
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Can 3D Point Clouds Replace GCPs? [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 Over the past decade, large-scale photogrammetric products have been extensively used for the geometric documentation of cultural heritage monuments, as they combine metric information with the qualities of an image document.
G. Stavropoulou +2 more
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3D Reconstruction and 3D Point Cloud Compression
DEStech Transactions on Computer Science and Engineering, 2017 3D reconstruction and 3D Point Cloud Compression of image sequences is an important application in computer graphics and image processing, especially in biomedical engineering. Based on the introduction of the basic principle of 3D reconstruction, this paper presents a simple and easy implementation process of 3D reconstruction, and focuses on the key ...
Mao QIN, Wei-qin ZHANG
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A Cost-Effective Method for Reconstructing City-Building 3D Models from Sparse Lidar Point Clouds
Remote Sensing, 2022 The recent popularization of airborne lidar scanners has provided a steady source of point cloud datasets containing the altitudes of bare earth surface and vegetation features as well as man-made structures.
Marek Kulawiak
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From 3D Point Clouds to Pose-Normalised Depth Maps [PDF]
, 2010 We consider the problem of generating either pairwise-aligned or pose-normalised depth maps from noisy 3D point clouds in a relatively unrestricted poses. Our system is deployed in a 3D face alignment application and consists of the following four stages:
Heseltine, Tom +2 more
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Adversarial Shape Perturbations on 3D Point Clouds [PDF]
, 2020 18 pages, accepted to the 2020 ECCV workshop on Adversarial Robustness in the Real World, source code available at this https url: https://github.com/Daniel-Liu-c0deb0t/Adversarial-point-perturbations-on-3D ...
Liu, Daniel, Yu, Ronald, Su, Hao
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Recognizing point clouds using conditional random fields [PDF]
, 2014 Detecting objects in cluttered scenes is a necessary step for many robotic tasks and facilitates the interaction of the robot with its environment. Because of the availability of efficient 3D sensing devices as the Kinect, methods for the recognition of ...
Dellen, Babette +2 more
core +2 more sources