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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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Registration of Point Clouds for 3D Shape Inspection
2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006Point cloud registration and sensor calibration are two critical technical issues concerning robot-mounted, area sensor systems. Iterative Closest Point (ICP)-based algorithms developed in the past are commonly used for point cloud registration. However, due to its least squared fitting nature, registration quality depends on how closely the measured ...
Quan Shi +3 more
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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 ...
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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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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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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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Provably Approximated Point Cloud Registration
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021Ibrahim Jubran +3 more
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A Point Cloud Registration Method Based on Point Cloud Region and Application Samples
2014In this study, a new automatic point cloud registration algorithm based on point cloud registration is proposed to broaden registration ways. The proposed method extracts features of point cloud region for performing the coarse registration. Based on the coarse registration results, the Iterative Closest Point (ICP) algorithm is used for performing the
Yujing Liao +3 more
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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, 2023Juergen W 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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