• DocumentCode
    3072471
  • Title

    Microscopic shape from focus using active illumination

  • Author

    Noguchi, Minori ; Nayar, Shree K.

  • Author_Institution
    Dept. of Comput. Sci., Columbia Univ., New York, NY, USA
  • Volume
    1
  • fYear
    1994
  • fDate
    9-13 Oct 1994
  • Firstpage
    147
  • Abstract
    Shape from focus relies on surface texture for the computation of depth. In many real-world applications, surfaces can be smoothly shaded and lacking in detectable texture. In such cases, shape from focus generates inaccurate and sparse depth maps. This paper presents a novel extension to the original shape from focus method. A strong texture is forced on imaged surfaces by the use of active illumination. The exact pattern of the projected illumination is determined through a careful Fourier analysis of all the optical effects involved in focus analysis. When the focus operator used is a 2D Laplacian, the optimal illumination pattern is found to be a checkerboard whose pitch is the same size as the distance between adjacent elements in the discrete Laplacian kernel. This analysis also reveals the exact number of images required for accurate shape recovery. These results are experimentally verified using an optical microscope. Surfaces lacking in texture, such as, three-dimensional structures on silicon substrates and solder joints on circuit boards were used in the experiments. The results show that the derived illumination pattern is in fact optimal, facilitating accurate shape recovery of complex and pertinent industrial samples
  • Keywords
    image recognition; 2D Laplacian; Fourier analysis; PCB; active illumination; checkerboard; circuit boards; depth computation; discrete Laplacian kernel; focus analysis; microscopic shape-from-focus recovery; optical microscope; silicon substrates; smooth shading; solder joints; structured light; surface texture; Focusing; Image analysis; Kernel; Laplace equations; Lighting; Optical microscopy; Pattern analysis; Shape; Silicon; Surface texture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1994. Vol. 1 - Conference A: Computer Vision & Image Processing., Proceedings of the 12th IAPR International Conference on
  • Conference_Location
    Jerusalem
  • Print_ISBN
    0-8186-6265-4
  • Type

    conf

  • DOI
    10.1109/ICPR.1994.576247
  • Filename
    576247