Results 41 to 50 of about 496,863 (282)
3D‐FEGNet: A feature enhanced point cloud generation network from a single image
IET Computer Vision, 2023 Deep learning‐based single view 3D reconstruction is a hot topic in computer vision. However, predicting a more realistic 3D point cloud from a single image is an ill‐posed problem.
Ende Wang +4 more
doaj +1 more source
ON GEOMETRIC PROCESSING OF MULTI-TEMPORAL IMAGE DATA COLLECTED BY LIGHT UAV SYSTEMS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Data collection under highly variable weather and illumination conditions around the year will be necessary in many applications of UAV imaging systems. This is a new feature in rigorous photogrammetric and remote sensing processing.
T. Rosnell, E. Honkavaara, K. Nurminen
doaj +1 more source
GENERATION OF 3-D LARGE-SCALE MAPS USING LIDAR POINT CLOUD DATA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 3-Dimensional geospatial data is essential for creating and utilizing real-world visualizations for analyzing infrastructure design improvements. However, techniques exist such as Total Station, Global Positioning System (GPS), and Google Earth data ...
L. Dhruwa, P. K. Garg
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AUTOMATIC EXTRACTION OF BUILDING OUTLINE FROM HIGH RESOLUTION AERIAL IMAGERY [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 In this paper, a new approach for automated extraction of building boundary from high resolution imagery is proposed. The proposed approach uses both geometric and spectral properties of a building to detect and locate buildings accurately.
Y. Wang
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THE FEASIBILITY OF 3D POINT CLOUD GENERATION FROM SMARTPHONES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 This paper proposes a new technique for increasing the accuracy of direct geo-referenced image-based 3D point cloud generated from low-cost sensors in smartphones.
N. Alsubaie, N. El-Sheimy
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TAILORED FEATURES FOR SEMANTIC SEGMENTATION WITH A DGCNN USING FREE TRAINING SAMPLES OF A COLORED AIRBORNE POINT CLOUD [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Automation of 3D LiDAR point cloud processing is expected to increase the production rate of many applications including automatic map generation.
E. Widyaningrum +5 more
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Fast feature matching for detailed point cloud generation [PDF]
, 2016 Structure from motion is a very popular technique for obtaining three-dimensional point cloud-based reconstructions of objects from un-organised sets of images by analysing the correspondences between feature points detected in those images. However, the
Berjón Díez, Daniel +2 more
core +1 more source
Case Study: Improving the Quality of Dairy Cow Reconstruction with a Deep Learning-Based Framework
Sensors, 2022 Three-dimensional point cloud generation systems from scanning data of a moving camera provide extra information about an object in addition to color. They give access to various prospective study fields for researchers.
Changgwon Dang +9 more
doaj +1 more source
Deep Generative Modeling of LiDAR Data [PDF]
, 2019 Building models capable of generating structured output is a key challenge for AI and robotics. While generative models have been explored on many types of data, little work has been done on synthesizing lidar scans, which play a key role in robot ...
Caccia, Lucas +3 more
core +2 more sources
Progressive Point Cloud Deconvolution Generation Network [PDF]
, 2020 In this paper, we propose an effective point cloud generation method, which can generate multi-resolution point clouds of the same shape from a latent vector. Specifically, we develop a novel progressive deconvolution network with the learning-based bilateral interpolation.
Hui, Le +4 more
openaire +2 more sources