Results 21 to 30 of about 162,683 (301)
A benchmark for point clouds registration algorithms [PDF]
Robotics and Autonomous Systems, 2021 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
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MPCR-Net: Multiple Partial Point Clouds Registration Network Using a Global Template
Applied Sciences, 2021 With advancements in photoelectric technology and computer image processing technology, the visual measurement method based on point clouds is gradually being applied to the 3D measurement of large workpieces. Point cloud registration is a key step in 3D
Shijie Su +4 more
doaj +1 more source
A BRIEF OVERVIEW OF THE CURRENT STATE, CHALLENGING ISSUES AND FUTURE DIRECTIONS OF POINT CLOUD REGISTRATION [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 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
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Deep Closest Point: Learning Representations for Point Cloud Registration [PDF]
IEEE International Conference on Computer Vision, 2019 Point cloud registration is a key problem for computer vision applied to robotics, medical imaging, and other applications. This problem involves finding a rigid transformation from one point cloud into another so that they align. Iterative Closest Point
Yue Wang, J. Solomon
semanticscholar +1 more source
APR: Online Distant Point Cloud Registration through Aggregated Point Cloud Reconstruction
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023 For many driving safety applications, it is of great importance to accurately register LiDAR point clouds generated on distant moving vehicles. However, such point clouds have extremely different point density and sensor perspective on the same object, making registration on such point clouds very hard.
Liu, Quan +4 more
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A Robust Loss for Point Cloud Registration [PDF]
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021 Accepted to ICCV ...
Deng, Zhi +3 more
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Topology-Aware Non-Rigid Point Cloud Registration [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 In this paper, we introduce a non-rigid registration pipeline for pairs of unorganized point clouds that may be topologically different. Standard warp field estimation algorithms, even under robust, discontinuity-preserving regularization, tend to produce erratic motion estimates on boundaries associated with `close-to-open' topology changes.
Konstantinos Zampogiannis +2 more
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Gravity-constrained point cloud registration
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022 Preprint. Submitted to IROS 2022.
Kubelka, Vladimír +2 more
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Automatic marker-free registration of single tree point-cloud data based on rotating projection
Artificial Intelligence in Agriculture, 2022 Point-cloud data acquired using a terrestrial laser scanner play an important role in digital forestry research. Multiple scans are generally used to overcome occlusion effects and obtain complete tree structural information.
Xiuxian Xu +9 more
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VPRNet: Virtual Points Registration Network for Partial-to-Partial Point Cloud Registration
Remote Sensing, 2022 With the development of high-precision and high-frame-rate scanning technology, we can quickly obtain scan data of various large-scale scenes. As a manifestation of information fusion, point cloud registration is of great significance in various fields ...
Shikun Li +3 more
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