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Computer Vision, winter 2012-13 CS Department, Technion.

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Presentation on theme: "Computer Vision, winter 2012-13 CS Department, Technion."— Presentation transcript:

1 Computer Vision, winter 2012-13 CS Department, Technion

2 Topics The Gaussian Pyramid The Laplacian Pyramid Applications: Pattern Matching Coding (Compression) Enhancement Blending

3 Gaussian Pyramid

4 Approximation filter is not Gaussian A 5 tap binomial kernel: 2D extension:

5 Pattern Matching

6 Laplacian Pyramid

7 Approximation of the Laplacian of each scale Constructed by Difference of Gaussian (DoG) layers

8 Laplacian Pyramid

9 Image Coding

10

11 Enhancement

12

13 Pyramid Blending

14 Step I - Create Blend Masks

15 Step II Weighted sum over each Laplacian pyramid scale (of the images) independently Gaussian pyramid of masks, or simple resizing of masks to correct dimensions Blend 1 Blend 1 Mask Blend 2Blend 2 Mask

16 Step III Standard Laplacian pyramid reconstruction of blended scales

17 Implementation Issues Image registration Feathering Over/under flows outside [0,1] MATLAB function: impyramid() Only Gaussian pyramid ‘reduce’ or ‘expand’ modes MATLAB function: imresize() Useful for masks resizing


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