Results 51 to 60 of about 18,303 (165)

Evaluation of Input Sampling Methods for Deep-Learning-Based Semantic Segmentation of Large-Scale 3D Point Clouds [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
3D point clouds used in geospatial applications typically contain billions of points. Processing 3D point clouds of this size as a whole with deep learning models requires computational resources (e.g., GPU memory) that are usually not available.
J. F. Ciprián-Sánchez, J.-M. Burmeister, R. Richter, G. Ochoa Ruiz, J. Döllner   +4 more
doaj   +1 more source

Research on Object Panoramic 3D Point Cloud Reconstruction System Based on Structure From Motion

IEEE Access, 2022
3D reconstruction is the transformation of real objects into mathematical models. By using 3D models, we can observe the shape and measure the parameters, and help us to analyze the properties of objects.
Xuejing Zhang, Jingyan Liu, Bo Zhang, Lei Sun, Yuhong Zhou, Yuchao Li, Jun Zhang, Hao Zhang, Xiaofei Fan   +8 more
doaj   +1 more source

Efficient and lightweight 3D building reconstruction from drone imagery using sparse line and point clouds

Virtual Reality & Intelligent Hardware
Efficient three-dimensional (3D) building reconstruction from drone imagery often faces data acquisition, storage, and computational challenges because of its reliance on dense point clouds.
Xiongjie Yin, Jinquan He, Zhanglin Cheng
doaj   +1 more source

COMPARATIVE ANALYSIS OF VARIOUS CAMERA INPUT FOR VIDEOGRAMMETRY [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
Videogrammetry is a technique to generate point clouds by using video frame sequences. It is a branch of photogrammetry that offers an attractive capabilities and make it an interesting choice for a 3D data acquisition.
N. Ahmad, S. Azri, U. Ujang, M. G. Cuétara, G. M. Retortillo, S. Mohd Salleh   +5 more
doaj   +1 more source

Individual Tree Canopy Parameters Estimation Using UAV-Based Photogrammetric and LiDAR Point Clouds in an Urban Park

Remote Sensing, 2021
Estimation of urban tree canopy parameters plays a crucial role in urban forest management. Unmanned aerial vehicles (UAV) have been widely used for many applications particularly forestry mapping.
Ebadat Ghanbari Parmehr, Marco Amati
doaj   +1 more source

The 3D Point Clouds Registration for Human Foot [PDF]

, 2018
For personalized design it is important to be able to collect, measure and evaluate individual properties of human beings. This paper proposes registration for the point clouds during foot 3D scanning. In the experiment, we get the point clouds of the human foot from the Artec 3D scanner and complete the registration of the point clouds from different ...
Yi Xie, Xiuqin Shang, Yuqing Li, Xiwei Liu, Fenghua Zhu, Gang Xiong 0001, Susanna Pirttikangas, Jiehan Zhou   +7 more
openaire   +2 more sources

3D Point Cloud Classification with ACGAN-3D and VACWGAN-GP

Turkish Journal of Electrical Engineering and Computer Sciences, 2023
Machine learning and deep learning techniques are widely used to make sense of 3D point cloud data which became ubiquitous and important due to the recent advances in 3D scanning technologies and other sensors. In this work, we propose two networks to predict the class of the input 3D point cloud: 3D Auxiliary Classifier Generative Adversarial Network (
Ergün, Onur, Sahillioglu, Yusuf
openaire   +2 more sources

Semi-Supervised Semantic Segmentation Network for Point Clouds Based on 3D Shape

Applied Sciences, 2023
The semantic segmentation of point clouds has significant applications in fields such as autonomous driving, robot vision, and smart cities. As LiDAR technology continues to develop, point clouds have gradually become the main type of 3D data.
Liting Zhang, Kun Zhang
doaj   +1 more source

AFE-RCNN: Adaptive Feature Enhancement RCNN for 3D Object Detection

Remote Sensing, 2022
The point clouds scanned by lidar are generally sparse, which can result in fewer sampling points of objects. To perform precise and effective 3D object detection, it is necessary to improve the feature representation ability to extract more feature ...
Feng Shuang, Hanzhang Huang, Yong Li, Rui Qu, Pei Li   +4 more
doaj   +1 more source

DENSE 3D POINT CLOUD GENERATION FROM UAV IMAGES FROM IMAGE MATCHING AND GLOBAL OPTIMAZATION [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
3D spatial information from unmanned aerial vehicles (UAV) images is usually provided in the form of 3D point clouds. For various UAV applications, it is important to generate dense 3D point clouds automatically from over the entire extent of UAV images.
S. Rhee, T. Kim
doaj   +1 more source