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Automatic Photo Pop-up
Derek Hoiem
Alexei A. Efros
Martial Hebert
ABSTRACT
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Presents a fully automatic method for creating
a 3D model from a single photograph.
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Algorithm labels regions of the input image into
coarse categories: “ground”, “sky”, and “vertical”.
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Labels are then used to “cut and fold” the image
into a pop-up model using a set of simple
assumptions.
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The algorithm is not expected to work on every
image.
OUTLINE
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INTRODUCTION
RELATED WORK(暫無)
APPROACH
EXTENDING TO VIDEOS
RESULTS
INTRODUCTION
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Advances in the field of image-based rendering
during the past decade.
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The method for creating virtual walkthroughs that is
completely automatic and requires only a single
photograph as input.
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The approach is similar to the creation of a pop-up
illustration in a children’s book.
RELATED WORK
APPROACH
APPROACH
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A. Handling the Illuminant Color in Images
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A fundamental limitation of our previous algorithm is that it required
target images to be taken under the D65.
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We apply the color-by-correlation method to estimate the illuminant
color.
APPROACH
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B. Color Naming Method
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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.
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APPROACH
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B. Color Naming Method
APPROACH
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C. Computing Corresponding Color Values
in the Chromatic Categories
APPROACH
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D. Computing Corresponding Color Values
In the Achromatic Categories
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E. Transferring Colors
EXTENDING TO VIDEOS
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A. Color Naming Method
EXTENDING TO VIDEOS
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B. Computing Corresponding Color Values
in the Chromatic Categories
EXTENDING TO VIDEOS
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C. Computing Corresponding Color Values
in the Achromatic Categories
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D. Transferring Colors
RESULTS
RESULTS
RESULTS
RESULTS
RESULTS
Thank you for your listening!
2008.05.21