Results 151 to 160 of about 20,533 (189)
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2016
In this chapter, we focus on keypoint-based point cloud registration which has proven to be among the most efficient strategies for aligning pairs of overlapping scans. We present a novel and fully automated framework which consists of six components addressing (i) the generation of 2D image representations in the form of range and intensity images ...
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In this chapter, we focus on keypoint-based point cloud registration which has proven to be among the most efficient strategies for aligning pairs of overlapping scans. We present a novel and fully automated framework which consists of six components addressing (i) the generation of 2D image representations in the form of range and intensity images ...
openaire +1 more source
Point Cloud Registration Using Evolutionary Algorithm
2021Point cloud registration is a hot research topic in computer vision and related areas. In this paper, inspired by Iterative Closest Point (ICP), two evolutionary algorithms, that is, Genetic Algorithm (GA) and Estimation of Distribution Algorithm (EDA), are designed to deal with the problem of registration.
Gewei Zhang +3 more
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Provably Approximated Point Cloud Registration
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021Ibrahim Jubran +3 more
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Transformed polynomials for global registration of point clouds
Proceedings of the 27th Spring Conference on Computer Graphics, 2011In this paper, we introduce a novel approach for global registration of partially overlapping point clouds. The approach identifies feature points of matching objects based on surface-approximating polynomials and finds an initial transformation depending on these polynomials.
Ruediger Schmedding +3 more
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Registration algorithm for incongruent point clouds
2022 VIII International Conference on Information Technology and Nanotechnology (ITNT), 2022A. Yu. Makovetskii +3 more
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Panorama based point cloud reduction and registration
2013 16th International Conference on Advanced Robotics (ICAR), 2013To reconstruct environments 3D point clouds acquired by laser scanners are registered. This is an important but also time consuming part of any mapping system for mobile robots. The time needed for mapping is drastically reduced when the size of the input data is reduced.
Hamidreza Houshiar +3 more
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Research on algorithm of point cloud MapReduce registration
2011 IEEE International Conference on Cloud Computing and Intelligence Systems, 2011An improved algorithm of point cloud ICP registration base on MapReduce is proposed. This method applies parallel computing of MapReduce to registration of point cloud in order to reduce the requirements of computing and improve the efficiency of computing.
Song Liu, Xiaoyao Xie
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A review of non-rigid transformations and learning-based 3D point cloud registration methods
ISPRS Journal of Photogrammetry and Remote Sensing, 2023Jürgen Hesser
exaly
Registration of Point Clouds: A Survey
2021 International Conference on Networking Systems of AI (INSAI), 2021Dongfang Xie +4 more
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Cross-source point cloud registration: Challenges, progress and prospects
Neurocomputing, 2023Xiaoshui Huang, Guofeng Mei
exaly