Mutation 47

This portrait was generated by stack filtering the original set of self portraits with the temporal difference1 filter.

Mutation 46

This portrait was generated by stack filtering the original set of self portrait images with the temporal difference1 filter.

Mutation 44

This portrait was generated by stack filtering the spatially normalized set of self portraits with the temporal difference1 filter.

Mutation 37

This portrait was generated by stack filtering the spatially normalized self portraits with the temporal difference1 filter.

Mutation 31

Another example of applying the temporal difference filter to the spatially aligned portrait virus image stack with a limited temporal window.

Mutation 27

Another example of working with the temporal difference filter. By modifying the temporal processing window and the effect parameters you can generate a lot of different interesting imagery. We're again using the spatially aligned portrait virus image stack because we're interested in building composite facial images based on the variations in the paint strokes associated with the different portraits. If we used the original portrait stack that isn't spatially aligned the temporal processing would pick up on the differences associated with where the objects in the various portraits are as opposed to focusing on the differences in how the faces themselves are painted.

Mutation 26

An example of processing the spatially aligned portrait virus image stack with the temporal difference filter.