My current research project investigates how to distinguish
fake photos from trustworthy photos. After all, you want to
make sure the photos are authentic (i.e. without tampering)
Some famous examples include Simpson's photo on Time
Magazine, a copy-and-paste Iraqi war photo on LA Times, a
shifted pyramid on National Geographics, and the photo of
John Kerry and Jane Fonda on LA Times. These fake photos
can be very misleading and easily impact a person's
I am now looking at how to solve this problem using a
generative model approach. Basically, if we can tell there
is some inconsistency in the photo, then we say the photo
Inconsistency includes semantics, illumination, acquisition
process...etc. My current focus is the last one:
acquisition process. If we can successfully determine there
are two parts in the photo that are taken from two
different cameras, then we claim this photo is suspicious.
Therefore, a good camera model and a reliable camera
calibration algorithm are our target.
For more information, please refer to the project page.