ive spend 8 literal working hours so far matching over 48 datapoints. the images i used, all from the same said of the face, and similar angles. it would be better to get similar looking loghting conditions but its hard to find. I have made an image to image comparison of som of this data thats more obvious and also created a warped gif to show the wrinkle map moving around his face through the years.
I have it in two separate posts. but I can re-link it. what you will see is basically some morphed images animated into each other. I could take a screenshot of the data points if needed.
https://media.greatawakening.win/post/pnAWstwjNLEH.png This one just shows images from several different decades, from similar angles. It would be best to get similar lighting, and similar expressions but that's almost impossible.
https://ibb.co/zZ4djwX Here is an animated gif from the images using 48 data points on the face. Look very closely at the pattern and shape the wrinkles such as near the eyes and the ears and the moles on his face. You should see that although the expressions/lighting/age/and angle are all different, the face wrinkle groupings are consistent.
The facial wrinkles of a person, when put together as a whole work as a unique identifier. no two people have the same set of wrinkles in the same spots.
You are welcome, i am collating the data into larger format. i am in contact with a audio forensics company trying to get an evaluation licensing so i can match a recent Biden speech with one from awhile back, to proof with forensics that they match. the forensics tool can tell between the real person, an ai, and a voice actor.
ive spend 8 literal working hours so far matching over 48 datapoints. the images i used, all from the same said of the face, and similar angles. it would be better to get similar looking loghting conditions but its hard to find. I have made an image to image comparison of som of this data thats more obvious and also created a warped gif to show the wrinkle map moving around his face through the years.
I'd like to see this work, why not post it for everyone?
I have it in two separate posts. but I can re-link it. what you will see is basically some morphed images animated into each other. I could take a screenshot of the data points if needed.
https://media.greatawakening.win/post/pnAWstwjNLEH.png This one just shows images from several different decades, from similar angles. It would be best to get similar lighting, and similar expressions but that's almost impossible.
https://ibb.co/zZ4djwX Here is an animated gif from the images using 48 data points on the face. Look very closely at the pattern and shape the wrinkles such as near the eyes and the ears and the moles on his face. You should see that although the expressions/lighting/age/and angle are all different, the face wrinkle groupings are consistent.
The facial wrinkles of a person, when put together as a whole work as a unique identifier. no two people have the same set of wrinkles in the same spots.
https://i.ibb.co/RT1rXZ4/Capture.jpg here is an example of the datapoint mapping from one image, I had to match these across every image.
Thanks for this, i was thinking it might be an actor or double.
You are welcome, i am collating the data into larger format. i am in contact with a audio forensics company trying to get an evaluation licensing so i can match a recent Biden speech with one from awhile back, to proof with forensics that they match. the forensics tool can tell between the real person, an ai, and a voice actor.