Measurement methods of 3D shape of large-scale complex surfaces based on computer vision: A review

H Shang, C Liu, R Wang - Measurement, 2022 - Elsevier
Large components are widely used in aerospace, shipbuilding, automobile, and other fields.
The accuracy of three-dimension (3D) measurement is an important standard to measure …

3D object recognition and classification: a systematic literature review

LE Carvalho, A von Wangenheim - Pattern Analysis and Applications, 2019 - Springer
In this paper, we present a systematic literature review concerning 3D object recognition and
classification. We cover articles published between 2006 and 2016 available in three …

Unsupervised detection of vineyards by 3D point-cloud UAV photogrammetry for precision agriculture

L Comba, A Biglia, DR Aimonino, P Gay - Computers and electronics in …, 2018 - Elsevier
An effective management of precision viticulture processes relies on robust crop monitoring
procedures and, in the near future, to autonomous machine for automatic site-specific crop …

A novel binary shape context for 3D local surface description

Z Dong, B Yang, Y Liu, F Liang, B Li, Y Zang - ISPRS Journal of …, 2017 - Elsevier
Abstract 3D local surface description is now at the core of many computer vision
technologies, such as 3D object recognition, intelligent driving, and 3D model …

Deep gesture interaction for augmented anatomy learning

A Karambakhsh, A Kamel, B Sheng, P Li… - International Journal of …, 2019 - Elsevier
Augmented reality is very useful in medical education because of the problem of having
body organs in a regular classroom. In this paper, we propose to apply augmented reality to …

KDD: A kernel density based descriptor for 3D point clouds

Y Zhang, C Li, B Guo, C Guo, S Zhang - Pattern Recognition, 2021 - Elsevier
Abstract 3D feature description is one of the central techniques that rely on point clouds
since a lot of point cloud processing techniques apply the point-to-point correspondences …

Learning high-level features by fusing multi-view representation of MLS point clouds for 3D object recognition in road environments

Z Luo, J Li, Z **ao, ZG Mou, X Cai, C Wang - ISPRS journal of …, 2019 - Elsevier
Most existing 3D object recognition methods still suffer from low descriptiveness and weak
robustness although remarkable progress has made in 3D computer vision. The major …

Efficient 3D object recognition via geometric information preservation

H Liu, Y Cong, C Yang, Y Tang - Pattern Recognition, 2019 - Elsevier
Accurate 3D object recognition and 6-DOF pose estimation have been pervasively applied
to a variety of applications, such as unmanned warehouse, cooperative robots, and …

Recognition and Classification of 3D Objects of Different Details

IA Alexandrov, MS Mikhailov… - Qubahan Academic …, 2024 - journal.qubahan.com
The development of 3D scanning technologies has made it possible to obtain an increasing
amount of data about the external world, which leads to the need for efficient methods of …

BRoPH: An efficient and compact binary descriptor for 3D point clouds

Y Zou, X Wang, T Zhang, B Liang, J Song, H Liu - Pattern Recognition, 2018 - Elsevier
Abstract 3D feature descriptor plays an essential role in 3D computer vision as it is a pre-
requisite step for many 3D vision applications. Despite there exists many 3D feature …