2nd Sem Graduation Project

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GRADUATION PROJECT Image Reviving

Transcript of 2nd Sem Graduation Project

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GRADUATION PROJECT

Image Reviving

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Prof. Sayed El- Harbete.

Dr. Ahmed Gawish.

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For no Meetings:

1. No Clear Methodologies.

2. Midterm.

3. Feast.

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1. Determining the geometric classes of an image region.

What is it?

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Input Image VerticalLabels Support

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2. Cutting and Folding (Texture mapping).

3. Determining Camera Parameters and Determining the 3D model Coordinates.

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Original Image

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• Determining Super Pixels:-

Initially, an image is represented simply by a 2D array of

RGB pixels. Without any knowledge of how those pixels should

be grouped, we can compute only simple cues, such as pixel

colors and filter responses. Our first step is to form super pixels

from those raw pixel intensities. Super pixels correspond to small,

nearly-uniform regions in the image and have been found useful

by other computer vision and graphics researchers

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Segmentation(Forming the Constellations)

ConstellationsSuper pixels

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After the first phase we will be able to get the labeled image (

Ground ,

Vertical ,

Sky).

Labeled image

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9: 3 128: 1 68: 1014

8: 1 6

10 : 12

8: 1014

8: 1 6

10 :714

10 : 23

8: 1014

8: 1 6

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