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

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.

OUTLINE INTRODUCTION RELATED WORK( 暫無 ) APPROACH EXTENDING TO VIDEOS RESULTS

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 children’s book.

RELATED WORK

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.

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.

APPROACH B. Color Naming Method

APPROACH C. Computing Corresponding Color Values in the Chromatic Categories

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

EXTENDING TO VIDEOS A. Color Naming Method

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

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

RESULTS

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