3D Modeling of Riverbeds Based on NURBS Algorithm

Kaiyuan Yang, Caili Zhong, Xiaotian Zhang, Xiaohui Zhu, Yong Yue

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

1 Citation (Scopus)

Abstract

Modelling and visualization of riverbeds can provide topographic features and sedimentation distribution of river systems, which is essential to support water environment management. We developed a novel approach for building 3-dimensional (3D) models and visualization of riverbeds based on a non-uniform Rational B-Spline (NURBS) algorithm. We used an Unmanned Surface Vehicle (USV) to collect water depth and GPS positions of a river system for modelling. A data reduction method was proposed to accelerate the modelling process while keeping the model accuracy. To obtain a more realistic 3D model of a riverbed, we applied an algorithm to optimize weight factors of control points. We achieved the algorithm on MATLAB, and experimental results show that the algorithm can visualize topographic features and sedimentation distribution of riverbeds in 3D models.

Original languageEnglish
Title of host publicationProceedings of the 2020 3rd International Conference on Artificial Intelligence and Pattern Recognition, AIPR 2020
PublisherAssociation for Computing Machinery
Pages163-167
Number of pages5
ISBN (Electronic)9781450375511
DOIs
Publication statusPublished - 26 Jun 2020
Event3rd International Conference on Artificial Intelligence and Pattern Recognition, AIPR 2020 - Virtual, Online, China
Duration: 26 Jun 202028 Jun 2020

Publication series

NameACM International Conference Proceeding Series

Conference

Conference3rd International Conference on Artificial Intelligence and Pattern Recognition, AIPR 2020
Country/TerritoryChina
CityVirtual, Online
Period26/06/2028/06/20

Keywords

  • 3D modelling
  • Data reduction
  • NURBS
  • Riverbed visualization
  • USVs

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