2019 Vol.2 Oct. No.5

• Title: Research on Measurement Method of 3D Motion Image Attitude Parameters of College Football Players
• Name: Ferdinand Nielsen
• Company: Dun Laoghaire Institute of Art, Design, and Technology
• Abstract:

  This paper studies the accurate measurement of three-dimensional image attitude parameters in athletes' movement. Using traditional three-dimensional motion image modeling and fixed-constraint model research method, it is difficult to describe the dynamic small-area image changes, resulting in poor measurement of image attitude parameters. The research on image attitude parameter measurement method based on MIAS3D system is proposed. The MIAS3D system is used to reconstruct the three-dimensional coordinates, the minimum motion function value is solved, and the first-order Newton iterative method is integrated to deal with the large-scale parameter optimization problem. According to the first-order Newton iteration point, the three-dimensional coordinate system of the motion image is constructed, and the parameters are measured according to the reconstruction result. The projection error method of minimizing the image sequence is used to obtain the motion parameter and structural parameter matrix of the athlete during the three-dimensional motion process, and finally the accurate analysis of the three-dimensional motion parameters can be completed. The experimental results show that the highest research effect of this method can reach 96%, which provides an important basis for the study of athletes' motion characteristics.

• Keyword: football; three-dimensional; action; image; attitude; parameter
• DOI: 10.12250/jpciams2019050558
• Citation form: Ferdinand Nielsen.Research on Measurement Method of 3D Motion Image Attitude Parameters of College Football Players[J]. Computer Informatization and Mechanical System, 2019, vol. 2, pp. 9-14.

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