portraiture morphing presented by fung, chau-ha jenice

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Portraiture Morphing Presented by Fung, Chau-ha Jenice

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

Portraiture Morphing

Presented by Fung, Chau-ha Jenice

Page 2: Portraiture Morphing Presented by Fung, Chau-ha Jenice

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

Page 3: Portraiture Morphing Presented by Fung, Chau-ha Jenice

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

digital image to another Application:

Movie Criminal Matching Plastic Surgeon

Page 4: Portraiture Morphing Presented by Fung, Chau-ha Jenice

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.

Page 5: Portraiture Morphing Presented by Fung, Chau-ha Jenice

Problem Statement Cross Dissolve Result:

Page 6: Portraiture Morphing Presented by Fung, Chau-ha Jenice

Problem Statement Image warping Result:

Page 7: Portraiture Morphing Presented by Fung, Chau-ha Jenice

Problem Statement Image warping Result:

Page 8: Portraiture Morphing Presented by Fung, Chau-ha Jenice

Problem Statement Visual Effect depends on

Transition Control How importance is each pixel in the morphing

process?

Smoothness Will the changes give smooth result?

Page 9: Portraiture Morphing Presented by Fung, Chau-ha Jenice

Problem Statement Transition Control and Smoothness

Page 10: Portraiture Morphing Presented by Fung, Chau-ha Jenice

Problem Statement Existence Approaches:

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

Page 11: Portraiture Morphing Presented by Fung, Chau-ha Jenice

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')

Page 12: Portraiture Morphing Presented by Fung, Chau-ha Jenice

Portraiture Morphing Mathematical Equations:

''

)''(''''

2

PQ

PQlarPerpendicuvPQuPX

PQ

PQlarPerpendicuPXv

PQ

PQPXu

Page 13: Portraiture Morphing Presented by Fung, Chau-ha Jenice

Portraiture Morphing Face ratio

Eye level Width of eye Mouth level Width of mouth

Page 14: Portraiture Morphing Presented by Fung, Chau-ha Jenice

Approaches Software tool: Matlab Procedure:

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

Page 15: Portraiture Morphing Presented by Fung, Chau-ha Jenice

Results

Page 16: Portraiture Morphing Presented by Fung, Chau-ha Jenice

Results

Page 17: Portraiture Morphing Presented by Fung, Chau-ha Jenice

Results

Page 18: Portraiture Morphing Presented by Fung, Chau-ha Jenice

Results

Page 19: Portraiture Morphing Presented by Fung, Chau-ha Jenice

Result

Page 20: Portraiture Morphing Presented by Fung, Chau-ha Jenice

What have been done? Survey on Image morphing method

Field Morphing Artistic face ratio Implementation

Page 21: Portraiture Morphing Presented by Fung, Chau-ha Jenice

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.

Page 22: Portraiture Morphing Presented by Fung, Chau-ha Jenice

The End