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Improved Space Carving Method for Merging and Interpolating Multiple Range Images Using Information of Light Sources of Active Stereo

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4844))

Abstract

To merge multiple range data obtained by range scanners, filling holes caused by unmeasured regions, the space carving method is a simple and effective method. However, this method often fails if the number of the input range images is small, because unseen voxels that are not carved out remains in the volume area. In this paper, we propose an improved algorithm of the space carving method that produces stable results. In the proposed method, a discriminant function defined on volume space is used to estimate whether each voxel is inside or outside the objects. Also, in particular case that the range images are obtained by active stereo method, the information of the positions of the light sources can be used to improve the accuracy of the results.

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References

  1. Curless, B., Levoy, M.: A volumetric method for building complex models from range images. Computer Graphics(Annual Conference Series) 30, 303–312 (1996)

    Google Scholar 

  2. Hoppe, H., DeRose, T., Duchamp, T., McDonald, J., Stuetzle, W.: Surface reconstruction from unorganized points. In: ACM SIGGRAPH, pp. 71–78. ACM Press, New York (1992)

    Google Scholar 

  3. Whitaker, R.T.: A level-set approach to 3d reconstruction from range data. IJCV 29(3), 203–231 (1998)

    Article  Google Scholar 

  4. Turk, G., Levoy, M.: Zippered polygon meshes from range images. In: SIGGRAPH 1994, pp. 311–318. ACM Press, New York (1994)

    Chapter  Google Scholar 

  5. Masuda, T.: Registration and integration of multiple range images by matching signed distance fields for object shape modeling. CVIU 87(1-3), 51–65 (2002)

    MATH  Google Scholar 

  6. Sagawa, R., Nishino, K., Ikeuchi, K.: Adaptively merging large-scale range data with reflectance properties. IEEE Trans. on PAMI 27(3), 392–405 (2005)

    Google Scholar 

  7. Davis, J., Marschner, S.R., Garr, M., Levoy, M.: Filling holes in complex surfaces using volumetric diffusion. In: 3DPVT 2002. Proc. of International Symposium on the 3D Data Processing, Visualization, and Transmission, pp. 428–438 (2002)

    Google Scholar 

  8. Sagawa, R., Ikeuchi, K.: Taking consensus of signed distance field for complementing unobservable surface. In: Proc. 3DIM 2003, pp. 410–417 (2003)

    Google Scholar 

  9. Masuda, T.: Filling the signed distance field by fitting local quadrics. In: 3DPVT 2004. Proc. of International Symposium on the 3D Data Processing, Visualization, and Transmission, pp. 1003–1010. IEEE Computer Society Press, Washington, DC, USA (2004)

    Google Scholar 

  10. Lorensen, W.E., Cline, H.E.: Marching cubes: A high resolution 3d surface construction algorithm. In: SIGGRAPH 1987, pp. 163–169. ACM Press, New York, NY, USA (1987)

    Chapter  Google Scholar 

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Yasushi Yagi Sing Bing Kang In So Kweon Hongbin Zha

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© 2007 Springer-Verlag Berlin Heidelberg

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Furukawa, R., Itano, T., Morisaka, A., Kawasaki, H. (2007). Improved Space Carving Method for Merging and Interpolating Multiple Range Images Using Information of Light Sources of Active Stereo. In: Yagi, Y., Kang, S.B., Kweon, I.S., Zha, H. (eds) Computer Vision – ACCV 2007. ACCV 2007. Lecture Notes in Computer Science, vol 4844. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76390-1_21

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  • DOI: https://doi.org/10.1007/978-3-540-76390-1_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-76389-5

  • Online ISBN: 978-3-540-76390-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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