Results 41 to 50 of about 4,650,387 (294)
Labelling point clouds in VR [PDF]
Recent advancements in Virtual Reality (VR) technology have extended its applications beyond entertainment, offering promising tools for professional fields such as 3D data annotation.
C. R. Fol +7 more
doaj +1 more source
DETECTION OF SLOPE MOVEMENT BY COMPARING POINT CLOUDS CREATED BY SFM SOFTWARE [PDF]
This paper proposes movement detection method between point clouds created by SFM software, without setting any onsite georeferenced points. SfM software, like Smart3DCaputure, PhotoScan, and Pix4D, are convenient for non-professional operator of ...
K. Oda, S. Hattori, T. Takayama
doaj +1 more source
Accurate registration of MMS point clouds of urban areas using trajectory [PDF]
Recently, by Mobile Mapping System (MMS) with laser scanners, a GPS and IMU (Inertial Measurement Unit), 3D point clouds of urban areas (MMS point clouds) are easily acquired.
S. Takai +5 more
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Airborne LiDAR Strip Adjustment Method Based on Point Clouds with Planar Neighborhoods
Airborne light detection and ranging (LiDAR) data are increasingly used in various fields such as topographic mapping, urban planning, and emergency management.
Zhenxing Sun +3 more
doaj +1 more source
Within this study, we present a pioneering cross-platform point cloud registration (PCR) framework aimed at the automated alignment of UAV and terrestrial forest LiDAR point clouds.
Ge Xuming +5 more
doaj +1 more source
Evaluating the Quality of Semantic Segmented 3D Point Clouds
Recently, 3D point clouds have become a quasi-standard for digitization. Point cloud processing remains a challenge due to the complex and unstructured nature of point clouds.
Eike Barnefske, Harald Sternberg
doaj +1 more source
No-reference point cloud quality assessment based on subjective and objective scores [PDF]
openRecently, thanks to the increasing capability of 3D acquisition devices, point cloud has emerged as the most popular format for immersive media. In practice, a variety of distortions could be involved and affect human perception.
SHAHHAT, AHMED OMAR YOUNUS
core
Instance Segmentation of Sparse Point Clouds with Spatio-Temporal Coding for Autonomous Robot
In the study of Simultaneous Localization and Mapping (SLAM), the existence of dynamic obstacles will have a great impact on it, and when there are many dynamic obstacles, it will lead to great challenges in mapping. Therefore, segmenting dynamic objects
Na Liu +5 more
doaj +1 more source
Acquisition and processing of point clouds (PCs) is a crucial enabler for many emerging applications reliant on 3D spatial data, such as robot navigation, autonomous vehicles, and augmented reality. In most scenarios, PCs acquired by remote sensors must be transmitted to an edge server for fusion, segmentation, or inference.
Yulin Shao +5 more
openaire +2 more sources
Grids and Clouds Integration and Interoperability: an overview [PDF]
International audienceAre grids and clouds different solutions to the same problems? Or are they simply different aspects of the same solution? Or maybe different solutions to different problems? Are they independent or complementary? Can they and should
Salomoni, Davide +22 more
core +1 more source

