Robust point-cloud registration based on dense point matching and probabilistic modeling

Gustavo Marques Netto; Manuel M. Oliveira

doi:10.1007/s00371-022-02525-y

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Robust point-cloud registration based on dense point matching and probabilistic modeling

Gustavo Marques Netto Manuel M. Oliveira

Year: 2022 Journal: The Visual Computer Vol: 38 (9-10)Pages: 3217-3230 Publisher: Springer Science+Business Media

DOI: 10.1007/s00371-022-02525-y

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Keywords:

Point cloud Computer science Exploit Outlier Robustness (evolution) Point set registration Probabilistic logic Artificial intelligence Computer graphics Matching (statistics) Data mining Missing data Point (geometry) Context (archaeology) Computer vision Machine learning Mathematics

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3D Shape Modeling and Analysis

Physical Sciences → Engineering → Computational Mechanics

Robotics and Sensor-Based Localization

Physical Sciences → Engineering → Aerospace Engineering

Remote Sensing and LiDAR Applications

Physical Sciences → Environmental Science → Environmental Engineering

Robust point-cloud registration based on dense point matching and probabilistic modeling

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