The Transactions of the Korean Institute of Electrical Engineers D (대한전기학회논문지:시스템및제어부문D)

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지

A Study on the Occlusion Area Detection in The Stereo Image Analysis

스테레오 영상 해석과정의 가려진 영역에 대한 연구

  • Published : 2005.04.01
Download PDF
⟨ Previous Next ⟩

Abstract

Stereo image analysis has been an important tool for reconstructing 3D terrain. By In its nature, occlusion is one of difficulties Ive cannot avoid in stereo matching. This paper presents a study on occlusion detection by employing LRC(Left-Right Check) and OCC(Occlusion Constraint) and how we can improve the accuracy of DEM(Digital Elevation Model) y using interpolated data into the detected occluded area. Experimental results show that these method can effectively detect occluded regions and improve the accuarcy of DEM using the occlusion detection.

Keywords

References

  1. 우동민, '적응적인 스테레오 정합 기법에 의한 3차원 지형 복원', 대한전기학회 논문집 47권 12호, pp. 2229-2236, 1998
  2. B. Jahne and H. Haubecker, 'Handbook of Computer Vision and Applications', Academic Press. pp. 411-449, 1999
  3. R. C. Gonzalez and R. E. Woods, 'Digital Image Processing', Addison-Wesley Pub. Co, pp. 580-586, 1992
  4. M. Drumheller and T. Poggio, 'On parallel stereo', Proc. Int. Conf. Robotics and Automat., pp. 1439-1448, 1986 https://doi.org/10.1109/ROBOT.1986.1087496
  5. H. Schultz, 'Terrain Reconstruction from Widely Separated Images', Proc. SPIE, Vol. 2486, pp.113-123, 1995 https://doi.org/10.1117/12.213111
  6. C. Lawrence Zitnick and T. Kanade, 'A Cooperative Algorithm for Stereo Matching and Occlusion Detection', IEEE Trans. Pattern Anal. Machine Intell., vol. 22, no. 7, pp. 1-10, 2000 https://doi.org/10.1109/34.865184
  7. G. Egnal and R. P. Wildes, 'Detecting Binocular Half-Occlusion : Empirical Comparisons of Five Approaches', IEEE Trans. Pattern Anal. Machine Intell., vol. 24, no 8, pp. 1127-1133, August 2002 https://doi.org/10.1109/TPAMI.2002.1023808
  8. Y. Leclerc and Q. Luong, 'Self-Consistency: A novel approach to characterizing the accuracy and reliability of point correspondence algorithms', DARPA Image Understanding Workshop, Monterey, CA, Morgan Kauffman, 1998
  9. K. Konolige, 'Small Vision Systems : Hardware and Implementation', Proc. Int'l Symp. Robotics Research, 1997
  10. J. Weng, N. Ahuja, and T. S. Huang, 'Two-View Matching', Proc. Int'l Conf. Computer Vision, pp. 64-73, 1988
  11. S. S. Intille and A. F. Bobick, 'Disparity-Space Image and Large Occlusion Stereo', Proc. European Conf. Computer Vision, pp. 179-186, 1994
  12. H. Schultz, E. M. Riseman, F. R. Stolle and D. M. Woo, 'Error Detection and DEM Fusion Using Self-consistency', 7th IEEE International Conference on Computer Vision, 1999 https://doi.org/10.1109/ICCV.1999.790413