Results 81 to 90 of about 20,533 (189)
Analysing and Enhancing the Coarse Registration Pipeline
, 2015 The current and continual development of sensors and imaging systems capable of acquiring three-dimensional data provides a novel form in which the world can be expressed and examined. The acquisition process, however, is often limited by imaging systems
Larkins, Robert L., Robert L. Larkins
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Deep learning point cloud registration based on distance features [PDF]
, 2019 In this paper, a new method of rigid point cloudregistration called Points Registration Learning (PREL) is pre-sented. This algorithm is based on Deep Neural Networks trainedby sparse autoencoders and fed with a set of Euclidean
OMAR PIÑA RAMIREZ +2 more
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Reconstruction of industrial piping installations from laser point clouds using profiling techniques
, 2009 Includes abstract.Includes bibliographical references (leaves 143-152).As-built models of industrial piping installations are essential for planning applications in industry. Laser scanning has emerged as the preferred data acquisition method of as built
Mapurisa, Willard T
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Point Cloud Registration Based on Global and Local Feature Fusion
, 2022 Part 6: Perceptual IntelligenceInternational audienceGlobal feature extraction and rigid body transformation estimation are two key steps in correspondences-free point cloud registration methods.
Yue, Mingyu +5 more
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Simultaneous registration of multi-view range images with adaptive kernel density estimation
, 2013 3D surface registration can be considered one of the crucial stages of reconstructing 3D objects from depth sensor data. Aligning pairs of surfaces is a well studied problem that has resulted in fast and usually reliable algorithms addressing the task ...
McDonagh, Steven; id_orcid, Fisher, Bob
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, 2014 The vast potential of digital representation of objects by large collections of 3D points is being recognized on a global scale and has given rise to the popularity of point cloud data (PCD). 3D imaging sensors provide a means for quickly capturing dense
Bethel, James, Grant, Darion
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Pose measurement without marked points based on prediction of overlapping area with hybrid features
Journal of Measurement Science and Instrumentation, 2023 The point cloud registration technique and 3D point cloud measurement technology without artificial marks are used to demonstrate a pose measurement solution in this study.
FU Luhua +4 more
doaj
Accuracy assessments of point cloud 3D registration method for high accuracy craniofacial mapping
, 2009 Three dimensional (3D) laser scanning technology has found to be an excellent method for modeling and measuring 3D objects. The 3D point clouds of an object can be acquired within one second and stored digitally for pre-processing task.
Chong, Albert K.-F. +2 more
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Perfect Spatial Hashing for Point-cloud-to-mesh Registration
, 2019 Point-cloud-to-mesh registration estimates a rigid transformation that minimizes the distance between a point sample of a surface and a reference mesh of such a surface, both lying in different coordinate systems.
Lalinde-Pulido, Juan +4 more
core +1 more source
Point cloud registration method based on principal component analysis and feature map matching
智能科学与技术学报, 2023 Due to varying degrees of overlap in point cloud models, point cloud registration is prone to problems, such as feature matching errors and high difficulty in registration.
ZHENG Weibin +3 more
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