실린더형 쌍곡면 반사체 카메라 광각영상 복원
Reconstruction of Wide FOV Image from Hyperbolic Cylinder Mirror Camera
0
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
In order to contain as much information as possible in a single image, a wide FOV(Field-Of- View) imaging system is required. The catadioptric imaging system with hyperbolic cylinder mirror can acquire over 180 degree horizontal FOV realtime panorama image by using a conventional camera. Because the hyperbolic cylinder mirror has a curved surface in horizontal axis, the original image acquired from the imaging system has the geometrical distortion, which requires the image processing algorithm for reconstruction. In this paper, the image reconstruction algorithms for two cases are studied: (1) to obtain an image with uniform angular resolution and (2) to obtain horizontally rectilinear image. The image acquisition model of the hyperbolic cylinder mirror imaging system is analyzed by the geometrical optics and the image reconstruction algorithms are proposed based on the image acquisition model. To show the validity of the proposed algorithms, experiments are carried out and presented in this paper. The experimental results show that the reconstructed images have a uniform angular resolution and a rectilinear form in horizontal axis, which are natural to human.
Abstract
In order to contain as much information as possible in a single image, a wide FOV(Field-Of- View) imaging system is required. The catadioptric imaging system with hyperbolic cylinder mirror can acquire over 180 degree horizontal FOV realtime panorama image by using a conventional camera. Because the hyperbolic cylinder mirror has a curved surface in horizontal axis, the original image acquired from the imaging system has the geometrical distortion, which requires the image processing algorithm for reconstruction. In this paper, the image reconstruction algorithms for two cases are studied: (1) to obtain an image with uniform angular resolution and (2) to obtain horizontally rectilinear image. The image acquisition model of the hyperbolic cylinder mirror imaging system is analyzed by the geometrical optics and the image reconstruction algorithms are proposed based on the image acquisition model. To show the validity of the proposed algorithms, experiments are carried out and presented in this paper. The experimental results show that the reconstructed images have a uniform angular resolution and a rectilinear form in horizontal axis, which are natural to human.
참고문헌 (14)
- S. Ha, "Panorama Mosaic Optimization for Mobile Camera Systems", IEEE Trans. on Consumer Electronics, 53(4), pp.1217~1225 (2008)
- 김경임, "다방향 카메라 영상의 방사형 왜곡 보정 및 파노라마 영상 합성", 한국차세대컴퓨팅학회 논문지, 9(6), pp.56~65 (2013), 한국차세대컴퓨팅학회
- 권경일, "Image-processing Based Panoramic Camera Employing Single Fisheye Lens", Journal of the Optical Society of Korea, 14(3), pp.245~259 (2010), 한국광학회
- G. Krishnan, "Cata-Fisheye Camera for Panoramic Imaging", Proc. IEEE Workshop on Application of Computer Vision, pp.1~8 (2008)
- J. Gluckman, "Planar Catadioptric Stereo:Geometry and Calibration", Proc. of IEEE Conf. on Computer Vision and Pattern Recognition, 1, pp.22~28 (1999)
- X. Zhihui, "Computer Vision", pp.493~518 (2008), InTech
- S. Baker, "A Theory of Single-Viewpoint Catadioptric Image Formation", Int’l Jour. of Computer Vision, 35(2), pp.175~196 (1999)
- S. Yi, "Wide FOV Panorama Image Acquisition System", Proc. of The 9th Korea Robotics Society Annual Conference, pp.291~292 (2014)
- 박대현, "부화소 기반의 적응적 보간법을 통한 영상 확대", 전자공학회논문지 - SP, 45(6), pp.9~16 (2008), 대한전자공학회
- A true omnidirectional viewer, "V. Nalwa", Bell Lab, ~ (1996)
- K. Tan, "Multiview Panoramic Cameras Using Mirror Pyramids", IEEE Tr. on Pattern Analysis and Machine Intelligence (2004)
- S. Lin, "High Resolution Catadioptric Omni-Directional Stereo Sensor for Robot Vision", Proc. of Int’l Conf. on Robotics and Automation, 2, pp.1694~1699 (2003)
- 서보길, "무인 자동차의 주변 환경 인식을 위한 도시 환경에서의 그래프 기반 물체 분할 방법", 로봇학회 논문지, 9(1), pp.1~10 (2014), 한국로봇학회[DOI]
- 김정대, "복도 주행 로봇을 위한 단일 카메라 영상에서의사람 검출", 로봇학회 논문지, 8(4), pp.238~246 (2013), 한국로봇학회