Results 41 to 50 of about 525,074 (283)
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
From 3D Point Clouds to Pose-Normalised Depth Maps [PDF]
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
core +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
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
3D Point Cloud Denoising via Deep Neural Network based Local Surface Estimation
We present a neural-network-based architecture for 3D point cloud denoising called neural projection denoising (NPD). In our previous work, we proposed a two-stage denoising algorithm, which first estimates reference planes and follows by projecting ...
Chen, Siheng +2 more
core +1 more source
The Space, Place, Sound, and Memory: Immersive Experiences of the Past project was led by dr James Cook, in collaboration with the Digital Documentation and Innovation team at Historic Environment Scotland, Soluis Heritage, the Binchois Consort, and scholars at the universities of Birmingham and Melbourne. It used cutting-edge technology to reconstruct
Cook, James, Mirashrafi, Sophia
openaire +1 more source
Since 2017, many deep learning methods for 3-D point clouds observed by airborne LiDAR (airborne 3-D point clouds) have been proposed. Moreover, not only a deep learning method for airborne 3-D point clouds but also a deep learning method for points and ...
Takayuki Shinohara +2 more
doaj +1 more source
Change detection (CD) is a technique widely used in remote sensing for identifying the differences between data acquired at different times. Most existing 3D CD approaches voxelize point clouds into 3D grids, project them into 2D images, or rasterize ...
Ming Han +3 more
doaj +1 more source
Point Cloud Framework for Rendering 3D Models Using Google Tango [PDF]
This project seeks to demonstrate the feasibility of point cloud meshing for capturing and modeling three dimensional objects on consumer smart phones and tablets.
Callin, Julian, Chung, Maxen
core +1 more source
TEMPO: Feature-Endowed Teichm\"uller Extremal Mappings of Point Clouds
In recent decades, the use of 3D point clouds has been widespread in computer industry. The development of techniques in analyzing point clouds is increasingly important. In particular, mapping of point clouds has been a challenging problem.
Choi, Gary Pui-Tung +2 more
core +1 more source

