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Shane Bric and Kevin Paprocki

Shane Bric and Kevin Paprocki. Goal:. Create an algorithm that turns an ordinary picture into an O bama campaign style poster. Initial Thoughts . Preserve edges and shape Preserve relative hue differences Map color based intensity and/or color This lead us to.. Bi lateral filtering

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Shane Bric and Kevin Paprocki

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  1. Shane Bric and Kevin Paprocki

  2. Goal: • Create an algorithm that turns an ordinary picture into an Obama campaign style poster

  3. Initial Thoughts • Preserve edges and shape • Preserve relative hue differences • Map color based intensity and/or color • This lead us to.. • Bi lateral filtering • Lithography

  4. Bi-lateral Filtering • Preserves edges while smoothing similar colors • Pixel based on average of both: • Geometric closeness • Similarly colored pixels • Pixels that are far away in distance and color are ignored

  5. Lithography • Allows artists to separate colors • We modified this idea to apply colors individually by intensity • The printing process of applying successive colors of a print sequentially. • Similar in style to the Obama poster

  6. Our Algorithm • Mask the subject from the environment • Apply the bi-lateral filter • Convert the image to greyscale • Map carefully tuned intensity ranges to different colors • Output the image

  7. Results

  8. Other Implementations • Obamicon.me • Converts photo’s you upload • Must mask the background • Has similar results to our algorithm

  9. Comparison Obamicon.me Our Algorithm Original

  10. Current Problems • Manually Specify the Mask • Manually tune the color mapping for each picture • Only works with Red and Blue color scheme • The filter runs slowly on older computers or large images

  11. Current and Future Improvements • Choosing a color scheme • Interactive threshold adjustments • Allow users to put witty words at the bottom of the picture. • Automatic masking • Improving the background

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