Results 21 to 30 of about 5,651,580 (291)
Low Overlapping Point Cloud Registration Using Line Features Detection
Modern robotic exploratory strategies assume multi-agent cooperation that raises a need for an effective exchange of acquired scans of the environment with the absence of a reliable global positioning system.
Miloš Prokop +2 more
doaj +2 more sources
A benchmark for point clouds registration algorithms [PDF]
Point clouds registration is a fundamental step of many point clouds processing pipelines; however, most algorithms are tested on data that are collected ad-hoc and not shared with the research community. These data often cover only a very limited set of use cases; therefore, the results cannot be generalised.
Simone Fontana +4 more
openaire +6 more sources
A Robust Loss for Point Cloud Registration [PDF]
Accepted to ICCV ...
Zhi Deng +3 more
openaire +3 more sources
Best Buddies Registration for Point Clouds [PDF]
Accepted to ACCV ...
Drory, Amnon +3 more
openaire +4 more sources
Gravity-constrained point cloud registration
Preprint. Submitted to IROS 2022.
Vladimír Kubelka +2 more
openaire +4 more sources
A BRIEF OVERVIEW OF THE CURRENT STATE, CHALLENGING ISSUES AND FUTURE DIRECTIONS OF POINT CLOUD REGISTRATION [PDF]
Point cloud registration is the process of transforming multiple point clouds obtained at different locations of the same scene into a common coordinate system, forming an integrated dataset representing the scene surveyed.
N. Brightman, L. Fan
doaj +1 more source
A comprehensive survey on point cloud registration
review ...
Xiaoshui Huang +3 more
openaire +3 more sources
Learning Multiview 3D Point Cloud Registration [PDF]
CVPR2020 - Camera ...
Zan Gojcic +4 more
openaire +5 more sources
Point Cloud Registration Based on Multiparameter Functional
The registration of point clouds in a three-dimensional space is an important task in many areas of computer vision, including robotics and autonomous driving.
Artyom Makovetskii +3 more
doaj +1 more source
Iterative K-Closest Point Algorithms for Colored Point Cloud Registration
We present two algorithms for aligning two colored point clouds. The two algorithms are designed to minimize a probabilistic cost based on the color-supported soft matching of points in a point cloud to their K-closest points in the other point cloud ...
Ouk Choi, Min-Gyu Park, Youngbae Hwang
doaj +1 more source

