Portraiture Morphing Presented by Fung, Chau-ha Jenice.

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Portraiture Morphing Presented by Fung, Chau-ha Jenice

Transcript of Portraiture Morphing Presented by Fung, Chau-ha Jenice.

Page 1: Portraiture Morphing Presented by Fung, Chau-ha Jenice.

Portraiture Morphing

Presented by Fung, Chau-ha Jenice

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

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Problem Statement Image morphing == Image metamorhposis Creating a smooth transformation of one

digital image to another Application:

Movie Criminal Matching Plastic Surgeon

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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.

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Problem Statement Cross Dissolve Result:

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Problem Statement Image warping Result:

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Problem Statement Image warping Result:

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Problem Statement Visual Effect depends on

Transition Control How importance is each pixel in the morphing

process?

Smoothness Will the changes give smooth result?

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Problem Statement Transition Control and Smoothness

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Problem Statement Existence Approaches:

Mesh Warping Field Morphing Radial Basis Function Energy minimization Multilevel Free-Form Deformation Work minimization

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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')

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Portraiture Morphing Mathematical Equations:

''

)''(''''

2

PQ

PQlarPerpendicuvPQuPX

PQ

PQlarPerpendicuPXv

PQ

PQPXu

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Portraiture Morphing Face ratio

Eye level Width of eye Mouth level Width of mouth

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Approaches Software tool: Matlab Procedure:

Locate the feature Control lines Remap the pixels Interpolate the value of pixels

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Results

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Results

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Results

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Results

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Result

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What have been done? Survey on Image morphing method

Field Morphing Artistic face ratio Implementation

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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.

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The End