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Advanced Hybrid Information Processing. 4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings, Part II

Research Article

Design of 3D Image Feature Point Detection System Based on Artificial Intelligence

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  • @INPROCEEDINGS{10.1007/978-3-030-67874-6_29,
        author={He Peng},
        title={Design of 3D Image Feature Point Detection System Based on Artificial Intelligence},
        proceedings={Advanced Hybrid Information Processing. 4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings, Part II},
        proceedings_a={ADHIP PART 2},
        year={2021},
        month={1},
        keywords={Artificial intelligence 3d image Feature points Efficient detection},
        doi={10.1007/978-3-030-67874-6_29}
    }
    
  • He Peng
    Year: 2021
    Design of 3D Image Feature Point Detection System Based on Artificial Intelligence
    ADHIP PART 2
    Springer
    DOI: 10.1007/978-3-030-67874-6_29
He Peng1,*
  • 1: Center of Engineering Practice Training, Tianjin Polytechnic University
*Contact email: wwzzmmhhhh@126.com

Abstract

Aiming at the problems of low efficiency and accuracy in the traditional 3D image feature point detection system, an efficient 3D image feature point detection system based on artificial intelligence is designed. Firstly, the whole frame of the system is designed. Then the hardware system is designed, including the development board, peripheral equipment and interface, basic engineering reconstruction and feature point detection unit. Then the software system is designed, including image collection module, image feature point display module. Image feature point processing module, image feature point extraction module, image feature point description module, and using the combination of hardware system and software system to achieve three based on artificial intelligence Dimension image feature point detection system. Finally, the effectiveness of the 3D image feature point detection system based on artificial intelligence is verified by experiments, and the detection efficiency and accuracy are much higher than the traditional methods. This study lays a foundation for the further study of images.

Keywords
Artificial intelligence 3d image Feature points Efficient detection
Published
2021-01-29
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-67874-6_29
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