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Conference material: "Proceedings of the International Conference on Computer Graphics and Vision Graphicon (19-21 September 2023, Moscow)"
Authors: Efimov A.I., Kryuchkova T.N., Yaroslavtseva A.I.
Combined Algorithm for Combining Point Clouds
The issues of combining three-dimensional surfaces and three-dimensional point clouds are important for solving a number of applied problems: three-dimensional reconstruction of the underlying surface of aircraft, construction of three-dimensional models of objects and a number of others. The report deals with the registration of point clouds, in particular, the algorithm of rigid registration of three-dimensional clouds. A software implementation of an iterative algorithm for combining three-dimensional point clouds is described, its main advantages and disadvantages are analyzed, and a modification of the ICP algorithm is proposed, including preliminary combination of the corresponding parts of the clouds using an approach based on three-dimensional descriptors of key points. The use of a combined algorithm for combining three-dimensional clouds allows you to build dense three-dimensional models of objects based on their separate disparate stereo images. The accuracy and time estimates of the proposed approaches are presented.
3D models, three-dimensional point clouds, rigid registration algorithm, iterative nearest point algorithm, combined point cloud matching algorithm
Publication language: russian,  pages: 10 (p. 539-548)
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About authors:
  • Efimov Aleksey Igorevich, State Radio Engineering University named after V.F. Utkin
  • Kryuchkova T.N., State Radio Engineering University named after V.F. Utkin
  • Yaroslavtseva A.I., State Radio Engineering University named after V.F. Utkin