DOI QR코드

DOI QR Code

Generation of Epipolar Image from Drone Image Using Direction Cosine

방향코사인을 이용한 드론영상의 에피폴라 영상제작

  • Received : 2018.05.09
  • Accepted : 2018.06.26
  • Published : 2018.08.31

Abstract

Generating an epipolar image which is removed a y-parallax from an original image is an essential technique for creating a 3D stereoscopic model or producing a map. In epipolar image production, there is a method of generating epipolar images by estimating the relative orientation parameters after matching the extracted distinct points in two images and a method of generating epipolar images by using the baseline and rotation angles of the two images after determining the exterior orientation parameters In this study, it was proposed a methodology to generate epipolar images using direction cosine in the exterior orientation parameters of the input images, and a method to use the transformation matrix for easy calculation when converting from the original image to the epipolar image. The applicability of the proposed methodology was evaluated by using images taken from the fixed wing and rotary wing drones. As a result, it was found that epipolar images were generated regardless of the type of drones.

에피폴라 영상은 원 영상에서 y-시차를 제거한 영상으로 3차원 입체 모델을 생성하거나 지도를 제작하기 위해서 필수적인 기술이다. 에피폴라 영상 제작에는 두 영상에서 특징점을 정합한 후 상호표정요소를 추정하여 생성하는 방법과 외부표정요소를 결정한 후 두 영상의 기선과 회전각을 이용하는 방법이 있다. 본 연구에서는 입력 영상의 외부표정요소에서 방향코사인을 이용하여 에피폴라 영상을 제작하는 방법과 원 영상에서 에피폴라 영상으로 변환할 때 용이한 계산을 위하여 변환관계를 행렬을 이용하는 방법론을 제안하였다. 제안한 방법론의 적용성은 고정익과 회전익 드론에서 촬영한 영상을 이용하여 평가하였으며 그 결과 드론의 형태에 관계없이 에피폴라 영상이 적합하게 제작됨을 알 수 있었다.

Keywords

References

  1. Ben-Artzi, G., Halperin, T., Werman, M., and Peleg, S. (2016), Epipolar geometry based on line similarity, 2016 23rd International Conference on, Pattern Recognition, ICPR, 4-8 December 2016, Cancun, Mexico, pp. 1865-1870.
  2. Conen, N., Jepping, C., Luhmann, T., and Maas, H.-G. (2016), Rectification and robust matching using oriented image triplets for minimally invasive surgery, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, International Society for Photogrammetry and Remote Sensing, 12-19 July 2016, Prague, Czech, Vol. III-3, pp. 27-34.
  3. Han, D.I., Choi, J.H., and Chin, H.C. (2014), A real-time hardware architecture for image rectification using floating point processing, Journal of the Institute of Electronics and Information Engineers, Vol. 51, No. 2, pp. 102-113. (in Korean with English abstract) https://doi.org/10.5573/ieie.2014.51.2.102
  4. Hwa, J.H., Song, E.H., Lee, M.Y., Lee, B.K., and Lee, D.W. (2015), Development of an image processing algorithm for paprika recognition and coordinate information acquisition using stereo vision, Protected Horticulture and Plant Factory, Vol. 24, No. 3, pp. 210-216. https://doi.org/10.12791/KSBEC.2015.24.3.210
  5. Idrissa, M. and Beumier C. (2016), Generic epipolar resampling method for perspective frame camera and linear push-broom sensor, International Journal of Remote Sensing, Vol. 37, No. 15, pp. 3494-3504.
  6. Jang, W.S., Lee, C., and Ho, Y.S. (2012), Efficient depth map generation for various stereo camera arrangements, The Journal of The Korean Institute of Communication Sciences, Vol. 37, No. 6, pp. 458-463. (in Korean with English abstract) https://doi.org/10.7840/KICS.2012.37.6A.458
  7. Kim, E.M. and Hahm, C.H. (2005), Analysis of epipolar geometry of linear array scanner scenes, Journal of the Korean Society of Civil Engineers, Vol. 25, No. 2D, pp. 347-352. (in Korean with English abstract)
  8. Kim, J.I. and Kim, T.J. (2012), Precise rectification of misaligned stereo images for 3D image generation, Journal of Broadcast Engineering, Vol. 17, No. 2, pp. 411-421. (in Korean with English abstract) https://doi.org/10.5909/JEB.2012.17.2.411
  9. Kim, J.I. and Kim, T.J. (2013), Development of photogrammetric rectification method applying bayesian approach for high quality 3D contents production, Journal of Broadcast Engineering, Vol. 18, No. 1, pp. 31-42. (in Korean with English abstract) https://doi.org/10.5909/JBE.2013.18.1.31
  10. Lee, S.J. and Choi, Y.S. (2016), Comparison of topographic surveying results using a fixed-wing and a popular rotary-wing unmanned aerial vehicle, Korean Society for Rock Mechanics, Vol. 26, No. 1, pp. 24-31. (in Korean with English abstract)
  11. Mikhail, E.M., Bethel, J.S., and McGlone, J.C. (2001), Introduction to Modern Photogrammetry, John Wiley & Sons Inc., New York, N.Y.
  12. Sung, S.M. and Lee, J.O. (2017), Accuracy assessment of parcel boundary surveying with a fixed-wing UAV versus rotary-wing UAV, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 35, No. 6, pp. 535-543. (in Korean with English abstract) https://doi.org/10.7848/KSGPC.2017.35.6.535

Cited by

  1. 근거리 사진측량을 위한 스테레오 카메라의 안정성 분석 vol.39, pp.3, 2018, https://doi.org/10.7848/ksgpc.2021.39.3.123