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Resolution-enhanced Reconstruction of 3D Object Using Depth-reversed Elemental Images for Partially Occluded Object Recognitionz

  • Received : 2008.09.25
  • Accepted : 2009.01.30
  • Published : 2009.03.25

Abstract

Computational integral imaging (CII) is a new method for 3D imaging and visualization. However, it suffers from seriously poor image quality of the reconstructed image as the reconstructed image plane increases. In this paper, to overcome this problem, we propose a CII method based on a smart pixel mapping (SPM) technique for partially occluded 3D object recognition, in which the object to be recognized is located at far distance from the lenslet array. In the SPM-based CII, the use of SPM moves a far 3D object toward the near lenslet array and then improves the image quality of the reconstructed image. To show the usefulness of the proposed method, we carry out some experiments for occluded objects and present the experimental results.

Keywords

References

  1. A. Stern and B. Javidi, 'Three-dimensional image sensing, visualization, and processing using integral imaging,' Proc. IEEE 94, 591-607 (2006) https://doi.org/10.1109/JPROC.2006.870696
  2. G. Lippmann, 'La photographic intergrale,' C. R. Acad. Sci. 146, 446-451 (1908)
  3. F. Okano, H. Hoshino, J. Arai, and I. Yuyama, 'Realtime pickup method for a three-dimensional image based on integral photography,' Appl. Opt. 36, 1598-1603 (1997) https://doi.org/10.1364/AO.36.001598
  4. B. Lee, S. Jung, and J.-H. Park, 'Viewing-angle-enhanced integral imaging by lens switching,' Opt. Lett. 27, 818-820 (2002) https://doi.org/10.1364/OL.27.000818
  5. J.-S. Jang and B. Javidi, 'Time-multiplexed integral imaging for 3D sensing and display,' Optics and Photonics News 15, 36-43 (2004) https://doi.org/10.1364/OPN.15.4.000036
  6. H. Arimoto and B. Javidi, 'Integral three-dimensional imaging with digital reconstruction,' Opt. Lett. 26, 157-159 (2001) https://doi.org/10.1364/OL.26.000157
  7. S.-H. Hong, J.-S. Jang, and B. Javidi, 'Three-dimensional volumetric object reconstruction using computational integral imaging,' Opt. Exp. 12, 483-491 (2004) https://doi.org/10.1364/OPEX.12.000483
  8. S.-H. Hong and B. Javidi, 'Improved resolution 3D object reconstruction using computational integral imaging with time multiplexing,' Opt. Exp. 12, 4579-4588 (2004) https://doi.org/10.1364/OPEX.12.004579
  9. D.-H. Shin and H. Yoo, 'Image quality enhancement in 3D computational integral imaging by use of interpolation methods,' Opt. Exp. 15, 12039-12049 (2007) https://doi.org/10.1364/OE.15.012039
  10. S. Yeom and B. Javidi, 'Photon counting linear discriminant analysis with integral imaging for occluded target recognition,' J. Opt. Soc. Korea 12, 88-92 (2008) https://doi.org/10.3807/JOSK.2008.12.2.088
  11. D.-H. Shin and H. Yoo, 'Scale-variant magnification for computational integral imaging and its application to 3D object correlator,' Opt. Exp. 16, 8855-8867 (2008) https://doi.org/10.1364/OE.16.008855
  12. M. Martinez-Corral, B. Javidi, R. Martínez-Cuenca, and G. Saavedra, 'Formation of real, orthoscopic integral images by smart pixel mapping,' Opt. Exp. 13, 9175-9180 (2005) https://doi.org/10.1364/OPEX.13.009175
  13. D.-H. Shin and E.-S. Kim, 'Computational integral imaging reconstruction of 3D object using a depth conversion technique,' J. Opt. Soc. Korea 12, 131-135 (2008) https://doi.org/10.3807/JOSK.2008.12.3.131
  14. B. Javidi, R. Ponce-Díaz, and S. -H. Hong, 'Three-dimen sional recognition of occluded objects by using computational integral imaging,' Opt. Lett. 31, 1106-1108 (2006) https://doi.org/10.1364/OL.31.001106
  15. D.-H. Shin, H. Yoo, C.-W. Tan, B-G. Lee, and J.-J. Lee, 'Occlusion removal technique for improved recognition of partially occluded 3D objects in computational integral imaging,' Opt. Comm. 281, 4589-4597 (2008) https://doi.org/10.1016/j.optcom.2008.06.026

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