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Colored Point Cloud Registration Revisited
2017 IEEE International Conference on Computer Vision (ICCV), 2017We present an algorithm for aligning two colored point clouds. The key idea is to optimize a joint photometric and geometric objective that locks the alignment along both the normal direction and the tangent plane. We extend a photometric objective for aligning RGB-D images to point clouds, by locally parameterizing the point cloud with a virtual ...
Jaesik Park +2 more
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Application of Improved Point Cloud Streamlining Algorithm in Point Cloud Registration
2020 Chinese Control And Decision Conference (CCDC), 2020Collect point cloud data of objects with commonly used 3D scanning equipment, the resulting point cloud data is huge. Traditional point cloud registration algorithms cannot guarantee both efficiency and accuracy. To this end, combining octree-based K-means clustering point cloud streamlining algorithm with an ICP algorithm with improved weight ratio ...
Liu Meiju +3 more
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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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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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Robust multiview registration of point clouds
2016 International Conference on Communication Systems and Networks (ComNet), 2016Multiview registration is an important part of the 3D modeling pipeline and it aims to bring all the partial views of a model in to a common co-ordinate system. In case of availability of redundant overlap area among the partial point clouds, motion averaging provides an efficient solution to the multiview registration problem.
Dhanya S Pankaj, Rama Rao Nidamanuri
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Automatic 3D point clouds registration method
SPIE Proceedings, 20103D point clouds registration is a crucial problem in reverse engineering. In order to register point clouds without manual information on objects, a novel method is proposed based on geometric properties of point clouds. The method consists four parts: selecting public areas, computing normal vectors and curvatures, finding corresponding points and ...
Ting Wu +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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Real-time 3D point cloud registration
Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019), 2019Three-dimensional (3D) registration or matching is a crucial step in 3D model reconstruction. In this work, we develop a real-time 3D point cloud registration technology. Firstly, in order to achieve real-time 3D data acquisition, the stereo phase unwrapping method is utilized to eliminate the ambiguity of the wrapped phase, assisted with the depth ...
Jiaming Qian +5 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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Automatic Local Point Cloud Registration Algorithm and Point Cloud Reconstruction System
2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 2021Qi-Lin Cai +3 more
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