Image Stitching Sean M. Arietta 2007-02-02 Methods and Implementations.

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Presentation transcript:

Image Stitching Sean M. Arietta Methods and Implementations

Introduction: Combining Images Image Stack Operation Removing Highlights\Shadows

Introduction: Montage Operations Compositing Merge disconnected data Extended DOF Relighting Image Stitching Merge connected data Clean Plating Remove data

Introduction: Clean Plating Approach: L2 Norm of RGB Large L2 → Discard Pixels Affinity  (L2) -1

Introduction: Image Stitching Image Stack Connected data Merge Data Minimize Error Exposure Differences Radial Distance Region Coherence Focal Impurities ANYTHING!

Introduction: Minimization Graph Technique Create nodes Connect nodes Assign weights Energy Optimization Find minimum cost Perform cut

Graph Cut: Example 123 Node: Pictures Connection: Overlapping Pictures Weight: Distance from Center & Size of Sphere

Graph Cut: Visualization Build Graph Problem dependant Find Vertex Covers Minimize Cover

Graph Cut: Vertex Cover Definition Mathematical: Vernacular Visual {a,b} = {blue,green}

Graph Cut: Minimizing Cover Assign Weights Problem dependant Perform Minimization Cost: = 75Cost: = 60

Introduction: Image Stitching Bullet

Introduction: Image Stitching Bullet

Introduction: Image Stitching Bullet

Introduction: Image Stitching Bullet

Introduction: Image Stitching Bullet

Introduction: Image Stitching Bullet

Introduction: Image Stitching Bullet

Introduction: Image Stitching Bullet

Introduction: Image Stitching Bullet

Introduction: Image Stitching Bullet