location:Home > 2020 VOL.3 Feb No.1 > Design of 3D Image Feature Point Efficient Detection System Based on Artificial Intelligence

2020 VOL.3 Feb No.1

  • Title: Design of 3D Image Feature Point Efficient Detection System Based on Artificial Intelligence
  • Name: Gapeev Hansen
  • Company: University of Zurich-Newhuadu business school
  • Abstract:

    Aiming at the problem of low detection efficiency of 3D image feature points in traditional 3D image feature point detection systems, an efficient artificial intelligence-based 3D image feature point detection system is designed. First, the overall frame design of the system is designed. Then design the hardware system, including the development board, peripherals and interfaces, basic engineering reconstruction and feature point detection unit, and then design the software system. Including image collection module, image feature point display module, image feature point processing module, image feature point extraction module, image feature point description module, An efficient detection system of 3D image feature points based on artificial intelligence is realized by the combination of hardware system and software system. Finally, the effectiveness of an efficient detection system for 3D image feature points based on artificial intelligence is verified through experiments.

  • Keyword: Artificial Intelligence; 3d Image; Feature Points; Efficient Detection;
  • DOI: 10.12250/jpciams2020010123
  • Citation form: Gapeev Hansen.Design of 3D Image Feature Point Efficient Detection System Based on Artificial Intelligence[J]. Computer Informatization and Mechanical System, 2020, vol. 3, pp. 83-88.
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Tsuruta Institute of Medical Information Technology
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