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HawtOrNawt : Facial Analysis and Morphing

Manjot Pal and Mikhail Skobov. HawtOrNawt : Facial Analysis and Morphing. Problem: Its been ages that people have been arguing about someone being more attractive than the other. - Instagram, Facebook - Different types of beautification apps - Flickr, Tumblr, other blogs

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HawtOrNawt : Facial Analysis and Morphing

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  1. Manjot Pal and Mikhail Skobov HawtOrNawt: Facial Analysis and Morphing

  2. Problem: Its been ages that people have been arguing about someone being more attractive than the other.

  3. - Instagram, Facebook - Different types of beautification apps - Flickr, Tumblr, other blogs - Tourism industry - Magazines Motivation

  4. - Detects key facial features - Rotates the face to align it with Cartesian coordinates - Assisted hairline and chin detection Facial Feature Detection

  5. 1. Function gets appropriate set of ratios 2. Each ratio is compared to the expected value and weighed appropriately 3. The weighed scores are averaged, and presented to user Calculating Scores Score: 7.6

  6. - Smoothsimages while preserving edges, by means of a nonlinear combination of nearby image values. - It combines gray levels or colors based on both their geometric closeness and their photometric similarity. - Prefers near values to distant values in both domain and range. Bilateral Filtering

  7. Wp – normalization factor • (p-q) - space weight • (|I(p) – I(q)|) – brightness weight • C. Tomasi and R. Manduchi : • Bilateral Filtering for Gray and Color Images. Algorithm

  8. Perfect

  9. Almost Perfect

  10. Not so good….

  11. - Come up with more smoothing filters - Efficient algorithms to perform smoothing - Measuring attractiveness with the help of different criterion other than just ratios Future

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