상세정보
학술대회
Robust Surface Pattern Matching for Ball Spin Estimation with Multi-exposed Images Under Varying Illumination Conditions
- 발행일
- 201408
- 출처
- International Conference on Pattern Recognition (ICPR) 2014, pp.4560-4563
- 협약과제
- 14MS2500, 전통 및 대중 무용의 체험 학습 창작을 위한 퍼포먼스 분석 및 생성 기술 개발, 김명규
- 초록
- In this paper, a new robust surface pattern matching technique is proposed for estimating the spin rate and spin axis of a spinning ball from a multi-exposed image under varying illumination conditions. In the proposed technique, robust surface pattern extraction based on the OFF cell model of the human visual system is employed to obtain high-contrast surface patterns and a novel rotational surface pattern matching based on the contrast response difference between the patterns is then used to estimate the spin rate and spin axis of the ball with high accuracy. The proposed technique is highly robust and highly accurate when compared to correlation-based techniques. In addition, the processing time for the new technique is less than in the other techniques. The performance of the proposed technique is verified through real experimental results under various illumination conditions.
- KSP 제안 키워드
- Correlation-based, High accuracy, High contrast, Highly accurate, Human Visual System(HVS), Illumination conditions, Multi-exposed images, Rotational surface, Surface pattern, cell model, pattern extraction