15-862 Computational Photography
Assignment 2: Image morphing and modeling
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Charudatta
Phatak
Section
1: Morph Video
The
delaunay triangulation was used for creating mesh between the correspondence
points between the two images. These are some of the frames from my image morph
into cpratt. Here is a link to the gif image of the morph. Somehow the gif
image was stacked the reverse way. So the morph goes backward from cpratt to
myself. Morph Video.
Figure 1 Frames from the morph video
The morph could have been more improved if more correspondence
points were chosen to include the neck, shirt region etc.
Section 2: Mean Face
The
mean face of the students of class
15463 was computed. The mean face is shown in figure 2. This does not look
really good because of small amount of image data set.
Figure 2 Average Face
My face was then warped into the geometry of the
average face.
Figure 3 My face warped into average geometry
Average face was warped into my face geometry.
Figure 4 Avg. Face into my geometry
Section 3: Bells and Whistles
An
average womanÕs face and an average manÕs face were computed using the image
data set from the class. Using these data sets, some caricatures were produced.
Also extrapolating the warping factors produced some more caricatures.
Figure 5 More feminine face
Figure 6 More masculine face
The results for this would have been more better if
the average womanÕs face and the manÕs face were sampled with more data!
Figure 7 Caricature...Bottle Face!
Figure 8 Caricature. Squinty Eyed?!