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Automatic Photo Pop-up

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Automatic Photo Pop-up. Derek Hoiem. Alexei A. Efros. Martial Hebert. ABSTRACT ... Labels are then used to 'cut and fold' the image into a pop-up model using a set ... – PowerPoint PPT presentation

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Title: Automatic Photo Pop-up


1
Automatic Photo Pop-up
  • Derek Hoiem
  • Alexei A. Efros
  • Martial Hebert

2
ABSTRACT
  • Presents a fully automatic method for creating
  • a 3D model from a single photograph.
  • Algorithm labels regions of the input image into
    coarse categories ground, sky, and
    vertical.
  • Labels are then used to cut and fold the image
    into a pop-up model using a set of simple
    assumptions.
  • The algorithm is not expected to work on every
    image.

3
OUTLINE
  • INTRODUCTION
  • RELATED WORK(??)
  • APPROACH
  • EXTENDING TO VIDEOS
  • RESULTS

4
INTRODUCTION
  • Advances in the field of image-based rendering
    during the past decade.
  • The method for creating virtual walkthroughs that
    is completely automatic and requires only a
    single photograph as input.
  • The approach is similar to the creation of a
    pop-up illustration in a childrens book.

5
RELATED WORK
6
APPROACH
7
APPROACH
  • A. Handling the Illuminant Color in Images
  • A fundamental limitation of our previous
    algorithm is that it required target images to be
    taken under the D65.
  • We apply the color-by-correlation method to
    estimate the illuminant color.

8
APPROACH
  • B. Color Naming Method
  • We denote the categorization as the color
    naming of a pixel.
  • The color naming method consists of two steps
  • initial color naming and fuzzy color naming.
  • Initial color naming, for example, if the color
    of a pixel is categorized in the first BCC, then
    the vector becomes
  • In the initial color naming process, each pixel
    completely belongs to one of the 11 BCCs.
  • Fuzzy color naming is done to avoid
    pseudo-contours.

9
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10
APPROACH
  • B. Color Naming Method

11
APPROACH
  • C. Computing Corresponding Color Values in the
    Chromatic Categories

12
APPROACH
  • D. Computing Corresponding Color Values In the
    Achromatic Categories
  • E. Transferring Colors

13
EXTENDING TO VIDEOS
  • A. Color Naming Method

14
EXTENDING TO VIDEOS
  • B. Computing Corresponding Color Values in the
    Chromatic Categories

15
EXTENDING TO VIDEOS
  • C. Computing Corresponding Color Values in the
    Achromatic Categories
  • D. Transferring Colors

16
RESULTS
17
RESULTS
18
RESULTS
19
RESULTS
20
RESULTS
21
Thank you for your listening!
2008.05.21
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