Surface estimation for multiple misaligned point sets

DOI10.1007/s11004-019-09802-yzbMath1436.86002OpenAlexW2940860928WikidataQ128008927 ScholiaQ128008927MaRDI QIDQ777257

William Kleiber, Dylan Sain, Ashton Wiens, Katherine R. Barnhart

Publication date: 6 July 2020

Published in: Mathematical Geosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11004-019-09802-y

zbMATH Keywords

Gaussian processdigital elevation modelpoint cloudstructure from motionLiDARpoint cloud registration

Mathematics Subject Classification ID

Geostatistics (86A32) Meteorology and atmospheric physics (86A10)

Related Items (2)

Modeling Nonstationary and Asymmetric Multivariate Spatial Covariances via Deformations ⋮ Nonrigid registration using Gaussian processes and local likelihood estimation

Uses Software

• k-means++

Cites Work

• On the performance of the ICP algorithm
• Interpolation of spatial data. Some theory for kriging
• Spatial statistics in the presence of location error with an application to remote sensing of the environment
• Nonlinear geospatial frame transformations in the presence of noisy data
• Gaussian process modeling of large-scale terrain
• Maximum likelihood estimation of models for residual covariance in spatial regression
• Worst-Case and Smoothed Analysis of the ICP Algorithm, with an Application to the k-Means Method
• Handbook of Spatial Statistics
• A survey of structure from motion.
• Strictly Proper Scoring Rules, Prediction, and Estimation
• Probabilistic Forecasts, Calibration and Sharpness
• Computer Vision - ECCV 2004

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