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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 linesFor 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:
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)''(''''
2
PQ
PQlarPerpendicuvPQuPX
PQ
PQlarPerpendicuPXv
PQ
PQPXu
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
Results
Results
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