Results 31 to 40 of about 309,652 (283)
3D environment mapping using the Kinect V2 and path planning based on RRT algorithms [PDF]
This paper describes a 3D path planning system that is able to provide a solution trajectory for the automatic control of a robot. The proposed system uses a point cloud obtained from the robot workspace, with a Kinect V2 sensor to identify the interest ...
Aguilar Castillo, Wilbert Geovanny +1 more
core +3 more sources
3D point cloud recognition of substation equipment based on plane detection
Substation equipment identification is a key step in the process of intelligent substation designing. The target recognition of 3D point cloud of substation equipment firstly uses a 3D laser scanner to obtain the 3D point cloud data that can express the ...
Qianjin Yuan, Yong Luo, HeShan Wang
doaj +1 more source
Deep Learning Based Point Cloud Processing Techniques
In this study, deep learning techniques and algorithms used in point cloud processing have been analysed. Methods, technical properties and algorithms developed for 3D Object Classification and Segmentation, 3D object detection and tracking and 3D scene ...
Abdurrahman Hazer, Remzi Yildirim
doaj +1 more source
Generating 3D point-cloud based on combining adjacent multi-station scanning data in 2D laser scanning: A case study of Hokuyo UTM 30lxk [PDF]
Using a lower-cost laser scanner for generating accuracy in 3D point-cloud has been a concern because of economic issues; therefore, this study aims to create a 3D point cloud of a target object using a low-cost 2D laser scanner, Hokuyo UTM 30LX.
Anh Thu Thi Phan, Ngoc Thi Huynh
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
PnP-3D: A Plug-and-Play for 3D Point Clouds [PDF]
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
openaire +3 more sources
3D point cloud video segmentation oriented to the analysis of interactions [PDF]
Given the widespread availability of point cloud data from consumer depth sensors, 3D point cloud segmentation becomes a promising building block for high level applications such as scene understanding and interaction analysis.
Casas Pla, Josep Ramon +2 more
core +1 more source
3D Data Processing Toward Maintenance and Conservation. The Integrated Digital Documentation of Casa de Vidro [PDF]
During the last decade, 3D integrated surveys and BIM modelling procedures have greatly improved the overall knowledge on some Brazilian Modernist buildings.
Balzani, M, Maietti, F, Rossato, L
core +2 more sources
Structured light technology is typical for capturing 3D point cloud data. This paper proposes a 3D reconstruction system to obtain point cloud data of complex objects based on nine-order Gray code and an eight-step structured light projection combined ...
Yun Feng +3 more
doaj +1 more source
3D Reconstruction and 3D Point Cloud Compression
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
openaire +2 more sources

