Results 31 to 40 of about 162,683 (301)
Point Cloud Registration Based on Multiparameter Functional
Mathematics, 2021 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
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Iterative K-Closest Point Algorithms for Colored Point Cloud Registration
Sensors, 2020 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
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SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration [PDF]
Computer Vision and Pattern Recognition, 2020 Extracting robust and general 3D local features is key to downstream tasks such as point cloud registration and reconstruction. Existing learning-based local descriptors are either sensitive to rotation transformations, or rely on classical handcrafted ...
Sheng Ao +4 more
semanticscholar +1 more source
Disordered Multi-view Registration Method Based on the Soft Trimmed Deep Network [PDF]
Journal of Geodesy and Geoinformation Science, 2023 Compared with the pair-wise registration of point clouds, multi-view point cloud registration is much less studied. In this dissertation, a disordered multi-view point cloud registration method based on the soft trimmed deep network is proposed.
Rui GUO, Yuanlong SONG, Zhengyao WANG
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3D point cloud lossy compression using quadric surfaces [PDF]
PeerJ Computer Science, 2021 The presence of 3D sensors in hand-held or head-mounted smart devices has motivated many researchers around the globe to devise algorithms to manage 3D point cloud data efficiently and economically. This paper presents a novel lossy compression technique
Ulfat Imdad +3 more
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Fast Registration of Point Cloud Based on Custom Semantic Extraction
Sensors, 2022 With the increase in the amount of 3D point cloud data and the wide application of point cloud registration in various fields, the question of whether it is possible to quickly extract the key points of registration and perform accurate coarse ...
Jianing Wu +5 more
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Point Cloud Registration using Representative Overlapping Points
, 2021 3D point cloud registration is a fundamental task in robotics and computer vision. Recently, many learning-based point cloud registration methods based on correspondences have emerged. However, these methods heavily rely on such correspondences and meet great challenges with partial overlap.
Zhu, Lifa +6 more
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3D Convex Hull-Based Registration Method for Point Cloud Watermark Extraction
Sensors, 2019 Most 3D point cloud watermarking techniques apply Principal Component Analysis (PCA) to protect the watermark against affine transformation attacks. Unfortunately, they fail in the case of cropping and random point removal attacks.
Bogdan Lipuš, Borut Žalik
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Genetic Algorithm-Based Optimization for Color Point Cloud Registration
Frontiers in Bioengineering and Biotechnology, 2022 Point cloud registration is an important technique for 3D environment map construction. Traditional point cloud registration algorithms rely on color features or geometric features, which leave problems such as color affected by environmental lighting ...
Dongsheng Liu +3 more
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Applied Sciences, 2022 As 3D acquisition equipment picks up steam, point cloud registration has been applied in ever-increasing fields. This paper provides an exhaustive survey of the field of point cloud registration for laser scanners and examines its application in large ...
Haiqing Si, Jingxuan Qiu, Yao Li
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