CS194-26 Project 4:
Face Morphing
Hersh Sanghvi | cs194-26-add
The aim of this project is to create, in effect,
better alignments for two faces by defining correspondences between them, computing
the Delaunay Triangulation between those points, and subsequently computing
affine warps between those triangles to warp the faces to each other. This
allows you to also ÒextrapolateÓ the difference between two faces, or create
more intelligent face averages.
Part I: The Midway
Face
I wanted to compute the midway face between my and Dev PatelÕs face:
The midway face is:
Overall it turned out pretty well. The eyes match up
well because I defined the correspondences strongly, and the case is same for
the nose and the general chin structure.
Part II: The Morph
Sequence
This is the full morph sequence from my face to Dev PatelÕs. We can see that this is a smooth morph, as
opposed to what would happen if they were simply cross dissolved. In that case,
we would see shots with multiple eyes in them, due to misalignments.
Part III: The mean
face of the population
Here, I computed the mean face of the Danes dataset,
specifically the smiling males:
And here are a couple of the Danes themselves merged
to the mean:
Original:
To the mean:
Original:
To the mean:
And hereÕs that picture of me, this time morphed to
the mean:
It looks a little bit ridiculous, but this is because
there were a number of key differences in facial features, such as the distance
of my eyes to the side of my head.
And hereÕs the mean, warped to my facial structure:
An interesting look for
sure. Again, the large differences in the relative locations of facial features
are probably responsible for this difference.
Here is a caricature of myself. What I did was I took
the difference in the correspondences between me and the mean, multiplied that
difference by 1.5, and added it
back to
my points. This results in an exaggeration of my features, as they are
different from the mean.
Part IV: Bells and
Whistles: Morphing to the Average Indian Woman
In this part, I wanted to see what effect could be
achieved on my own face by morphing it to the average Indian woman.
This is me morphed to the
womanÕs shape:
Looks pretty funny. The bottom part of my face
unfortunately gets elongated, as it gets merged with
the bottom of the indian woman due to the way I
defined my correspondences. However, notice that the shapes of the two do match
quite well.
HereÕs the midway face:
This one probably performed the best, because the
color averaging can smooth out some of the weirdness, and meeting halfway in
the warp definitely eliminates some of the incorrect shapes that result from a
full warp.
As expected, due to the misalignment, the
cross-dissolve does not perform well: