I want to find a site that progresses the age of anyone on photographs, for free.

Italian police used age progression software in reverse to create a photo of a 'young Jesus' from the Shroud of Turin, on display till June 24, for the first time in five years. Mar 15, 2020 Agify is an age transformation app that users can use to convert their faces to old age. The app can be used easily as users have to tap the app. The app can modify the image and size and transform it into an old face. The picture will look as if the user is seeing his near future. Age-Progression/Regression Age-progression photos are widely used by investigators to located missing persons and hunt for wanted fugitives. The National Center for Missing & Exploited Children have successfully used age progressed photos to reunite long-term missing children with their families.

I just want to upload a photo, then type in the following in the following fields:

AGE IN PHOTO: ##

DESIRED PROGRESSED AGE: ##

Click to progress!

When I read about the 2038 Problem, I realized that it’s my youngest sister’s 43rd birthday. There’s even a Facebook Group on Y2k38:

Age Regression Photo Software Program

Or you can just read Wikipedia: http://en.wikipedia.org/wiki/Year_2038_problem

Therefore, I wanted to see what she’ll look like in 28 years.

So what websites progress visual ages for free?

(Anyway, you can read on age progression here: http://en.wikipedia.org/wiki/Age_progression)

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3 Answers

Maybe try this website. I haven’t tried it myself so I’m not sure how it’ll turn out.

@eeveegurl Even though the results don’t look as professional as the ones we see on Unsolved Mysteries, America’s Most Wanted, or The National Center for Missing & Exploited Children, at least this is a step in the right direction.

When I upload pictures of myself as a child and select “Teenager” as the transformation option, the end-result looks somewhat accurate.

Instead of the five age groups of just “baby, child, teenager, young adult, older adult,” I wish we could enter the starting age and the desired age. That could be more accurate.

But hey, at least this is something like what I’m looking for. Thanks a lot.

thanks @eeveegurl, i love that site, been playin around with it ever since i read your post.

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April 9, 2014

It’s a guessing game parents like to ponder: What will my child look like when she grows up? A computer could now answer the question in less than a minute.

University of Washington researchers have developed software that automatically generates images of a young child’s face as it ages through a lifetime. The technique is the first fully automated approach for aging babies to adults that works with variable lighting, expressions and poses.

Using one photo of a 3-year-old, the software automatically renders images of his face at multiple ages while keeping his identity (and the milk moustache).U of Washington

“Aging photos of very young children from a single photo is considered the most difficult of all scenarios, so we wanted to focus specifically on this very challenging case,” said Ira Kemelmacher-Shlizerman, a UW assistant professor of computer science and engineering. “We took photos of children in completely unrestrained conditions and found that our method works remarkably well.”

The research team has posted a paper on the new technique and will present its findings at the June IEEE Computer Vision and Pattern Recognition conference in Columbus, Ohio.

The shape and appearance of a baby’s face – and variety of expressions – often change drastically by adulthood, making it hard to model and predict that change. This technique leverages the average of thousands of faces of the same age and gender, then calculates the visual changes between groups as they age to apply those changes to a new person’s face.

More specifically, the software determines the average pixel arrangement from thousands of random Internet photos of faces in different age and gender brackets. An algorithm then finds correspondences between the averages from each bracket and calculates the average change in facial shape and appearance between ages. These changes are then applied to a new child’s photo to predict how she or he will appear for any subsequent age up to 80.

The researchers tested their rendered images against those of 82 actual people photographed over a span of years. In an experiment asking random users to identify the correct aged photo for each example, they found that users picked the automatically rendered photos about as often as the real-life ones.

A single photo of a child (far left) is age progressed (left in each pair) and compared to actual photos of the same person at the corresponding age (right in each pair).U of Washington

“Our extensive user studies demonstrated age progression results that are so convincing that people can’t distinguish them from reality,” said co-author Steven Seitz, a UW professor of computer science and engineering. “When shown images of an age-progressed child photo and a photo of the same person as an adult, people are unable to reliably identify which one is the real photo.”

Real-life photos of children are difficult to age-progress, partly due to variable lighting, shadows, funny expressions and even milk moustaches. To compensate for these effects, the algorithm first automatically corrects for tilted faces, turned heads and inconsistent lighting, then applies the computed shape and appearance changes to the new child’s face.

Perhaps the most common application of age progression work is for rendering older versions of missing children. These renderings usually are created manually by an artist who uses photos of the child as well as family members, and editing software to account for common changes to a child’s face as it ages, including vertical stretching, wrinkles and a longer nose.

But this process takes time, and it’s significantly harder to produce an accurate image for children younger than age 5, when facial features more closely resemble that of a baby.

In each of these morphs, the left image is the starting input photo and the right image will transform to age 80 to show the automatic aging process.

The automatic age-progression software can run on a standard computer and takes about 30 seconds to generate results for one face. While this method considered gender and age, the research team that also includes UW doctoral student Supasorn Suwajanakorn hopes to incorporate other identifiers such as ethnicity, and cosmetic factors such as hair whitening and wrinkles to build a robust enough method for representing every human face.

“I’m really interested in trying to find some representation of everyone in the world by leveraging the massive amounts of captured face photos,” Kemelmacher-Shlizerman said. “The aging process is one of many dimensions to consider.”

Photo Age Regression Software Free

This research was funded by Google and Intel Corp.

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Age Regression Photo Software Download

For more information, contact Kemelmacher-Shlizerman at kemelmi@cs.washington.edu or 206-616-0621.

Age Regression Photo Software Free

Tag(s): College of Engineering • Ira Kemelmacher-Shlizerman • Paul G. Allen School of Computer Science & Engineering • Steve Seitz