I'd like to emphasize that this is arguably the same method (facial similarity) being attempted twice, rather than two different and independent methods. While a marginal improvement, each attempt could go wrong for shared or similar reasons--for example, facial-recognition AI can also suffer from the "all those minorities look alike" problem.

Consider the contrast between:

1. "A human who saw the culprit's face believes your face matches, and a computer looking at video-footage agreed."

2. "A human who saw the culprit's face believes yours matches, and your car is the same color and model as the car the culprit drove off in."