Portraiture Morphing Presented by Fung, Chau-ha Jenice

Outline Problem Statement Prior Art: Portraiture Morphing Approaches Results Conclusion Future Works

Problem Statement Image morphing == Image metamorhposis Creating a smooth transformation of one digital image to another Application: Movie Criminal Matching Plastic Surgeon

Problem Statement Basic techniques used: Cross dissolve A source image is faded out while letting a destination image faded in simultaneously, to create a smoothing of one to another Image warping It is a technique that involves geometrical transformation and interpolation of objects.

Problem Statement Cross Dissolve Result:

Problem Statement Image warping Result:

Problem Statement Image warping Result:

Problem Statement Visual Effect depends on Transition Control How importance is each pixel in the morphing process? Smoothness Will the changes give smooth result?

Problem Statement Transition Control and Smoothness

Problem Statement Existence Approaches: Mesh Warping Field Morphing Radial Basis Function Energy minimization Multilevel Free-Form Deformation Work minimization

Portraiture Morphing Field Morphing Use of control lines For each pixel X in the destination image find the corresponding u,v find the X' in the source image for that u,v: destinationImage(X) = sourceImage(X')

Portraiture Morphing Mathematical Equations:

Portraiture Morphing Face ratio Eye level Width of eye Mouth level Width of mouth

Approaches Software tool: Matlab Procedure: Locate the feature Control lines Remap the pixels Interpolate the value of pixels

Results

Result

What have been done? Survey on Image morphing method Field Morphing Artistic face ratio Implementation

What can be done? Face prediction Application: Use of one generation’s images to predict the preceding generation and succeeding generation 3D Face morphing Apply the sculpture dimension on art to construct or morph the 3D face.

The End