Results 31 to 40 of about 45,895 (267)
Mobile LiDAR-based Real-time Identification of Transmission Lines [PDF]
This paper proposes a method for identifying 3D point cloud of transmission line acquired by light detection and ranging (LiDAR) real-time mobile scanning.
M. Li +5 more
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Automatic 3D Landmark Extraction System Based on an Encoder–Decoder Using Fusion of Vision and LiDAR
To provide a realistic environment for remote sensing applications, point clouds are used to realize a three-dimensional (3D) digital world for the user.
Jeonghoon Kwak, Yunsick Sung
doaj +1 more source
Dense Point Cloud Reconstruction by Shape and Pose Features Learning [PDF]
As one of the methods of high-resolution 3D reconstruction, generating dense 3D point clouds from a single image has always been of high interest in the field of computer vision.
YANG Yongzhao, ZHANG Yujin, ZHANG Lijun
doaj +1 more source
3D adversarial attacks beyond point cloud
Recently, 3D deep learning models have been shown to be susceptible to adversarial attacks like their 2D counterparts. Most of the state-of-the-art (SOTA) 3D adversarial attacks perform perturbation to 3D point clouds. To reproduce these attacks in the physical scenario, a generated adversarial 3D point cloud need to be reconstructed to mesh, which ...
Jinlai Zhang +7 more
openaire +2 more sources
CloudUP—Upsampling Vibrant Color Point Clouds Using Multi-Scale Spatial Attention
In recent years, there has been a noticeable increase in the inclination towards digitizing our surroundings, encompassing various domains such as virtual reality, cultural heritage conservation, and architectural representation.
Yongju Cho +7 more
doaj +1 more source
In recent years, due to the significant advancements in hardware sensors and software technologies, 3D environmental point cloud modeling has gradually been applied in the automation industry, autonomous vehicles, and construction engineering.
Tzu-Jung Wu, Rong He, Chao-Chung Peng
doaj +1 more source
CLASSIFICATION OF AERIAL PHOTOGRAMMETRIC 3D POINT CLOUDS [PDF]
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
openaire +4 more sources
RGB-D Camera for 3D Laser Point Cloud Hole Repair in Mine Access Shaft Roadway
With the rapid development of the geographic information service industry, point cloud data are widely used in various fields, such as architecture, planning, cultural relics protection, mining engineering, etc.
Haoyu Tai +7 more
doaj +1 more source
A Point Cloud Registration Algorithm Based on Weighting Strategy for 3D Indoor Spaces
Point cloud registration is a technology that aligns point cloud data from different viewpoints by computing coordinate transformations to integrate them into a specified coordinate system.
Wenshan Lv +4 more
doaj +1 more source
A voxelize structured refinement method for registration of point clouds from Kinect sensors
3D scanning of objects has been widely used for many years in computer graphics and computer vision. There are a variety of solutions in this area, such as the motion or multiple sensors for scanning.
Erdal Özbay, Ahmet Çinar
doaj +1 more source

