Yiwen Chen
In this section, I defined 43 pairs of correspondences manually using ginput. Then I computed Delaunay triangulation with the average of each pair.
Original images:
Annotated images:
The following mid-way face is computed by
Similar to how the mid way image is constructed, for each a = 0.1, 0.2, 0.3, .. 0.9 a frame is constructed using a as both warp fraction (shape) and dissolve fraction (color).
I used 6 ”happy” expression female faces from the Danes dataset. The original images are as follows:
To compute the mean face,
Here is an example of step2
original:
morphed image:
The average face of ”happy” expression female faces:
Here is my original portrait:
The result of my face warped into the average geometry:
The result of the average face warped into your geometry:
A caricature of my face is calculated by weighing my face with 1.5 and weighing the averge face with -0.5 for both shape and color: