상세정보
학술대회
Auto-Calibration of Multi-view RGB-D Cameras for Virtual Mirrors
- 저자
- 김종성
- 발행일
- 202111
- 출처
- International Conference on Consumer Electronics (ICCE) 2021 : Asia, pp.347-350
- 협약과제
- 21IH1100, 간접 센싱 기반 실시간 연동 AR 실내 스포츠 플랫폼 개발, 김종성
- 초록
- In this paper, we propose a new auto-calibration method of multi-view RGB-D cameras for virtual mirrors. In the proposed method, the 3D coordinates of joints in a human body are detected and tracked with multi-view depth cameras. Then, 3D coordinates are transformed from the depth camera coordinate system into the color camera one. Lastly, 3D extrinsic calibration parameters between color cameras are computed from transformed 3D coordinates with considering confidence levels. The effectiveness of the proposed method is verified by applying the virtual mirror system to AR sports contents.
- KSP 제안 키워드
- 3D Coordinates, Auto-calibration, Calibration method, Color camera, Confidence Level, Coordinate system, Depth camera, Human body, Mirror system, Multi-view, RGB-D camera