How Will I Look In The Future

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How Will I Look In The Future – This ‘time machine’ shows what the future holds – for your face Have you ever thought about how you will look at 60? What if you smoke? This new app shows you the difference.

Imagine if you could look into the future and see what decades of smoking, too much alcohol or junk food could do to your face. A new app created with a group of tech-savvy kids in the Northern Territory can do just that.

How Will I Look In The Future

How Will I Look In The Future

90 percent of all deaths on our continent are caused by chronic diseases, and the main causes of these diseases are smoking, poor diet, excessive alcohol consumption and lack of exercise.

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Created in collaboration with IBM, the Menzies School of Health and Research and KWP Technology, the app uses selfie and face reshaping technology to show the difference a healthy lifestyle can make.

After taking a photo, the application shows you how you age with a healthy lifestyle, how old you would be if you smoked, drank too much alcohol or did not exercise.

Rayleen Collins, from the Menzies School of Health and Research, said that while looking into the future is a bit of fun, it also sparks important conversations.

“I think it’s a great tool to show kids, especially young people in the community, how their decisions are affecting them now and how they’re going to be affected in the future. And what you can see,” Collins told NITV News.

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“A lot of young people these days compare themselves to stars. And it’s a great way to show that you can look that way. You just have to make the right choice.”

Heidi Smith-Vaughan, head of the Menzies HealthLab, says teenagers find it “notoriously difficult” to have healthy lifestyle conversations. Their work targets remote areas, in many languages, in the middle of the epidemic.

“The advice had to capture young people’s attention, be primarily visual to overcome language barriers and transportable to overcome travel restrictions,” Ms Smith-Vaughan said. Vaughn said.

How Will I Look In The Future

“They are never away from their phones and AI is second nature to them,” Ms Morley said. “We are proud to have been able to implement creativity that achieves such important health outcomes.”

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IBM’s James Jackson told NITV News that the tech giant was excited to work with Menzies to bring the Time Machine to life.

“I wish I’d seen it years ago,” Mr Jackson said, “it’s quite confrontational. Hopefully it can help [teenagers] make informed health and lifestyle choices.”

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Children’s faces change a lot throughout their lives, so it’s hard to predict what they’ll look like when they grow up.

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The software developed by the researchers averages thousands of faces of the same age and gender — looking at the average pixel layout of thousands of randomly selected web images — and then calculates the changes between the groups by age. for any new image changes. This allows you to see what the child will look like until he is 80 years old.

Aging photographs of faces is a special science, the aging process itself is not deterministic and depends on environmental and genetic factors that are not necessarily visible in the input photographs. In addition, visibility and recognizability are greatly influenced by hairstyle, glasses, expression and lighting. Nevertheless, age progression techniques have been very useful in solving cases of missing children, but they usually involve forensic experts simulating a person’s subsequent appearance. There are also fun apps like AgingBooth that can be used by over 15s, but require a front-facing, normally lit face with a neutral expression.

This automated process, developed by Assistant Professor Ira Kemmelmaker-Shilzerman and colleagues, allows you to take any image from any angle, with any expression and pose, and apply an algorithm to age the face, taking into account the angle and the light source.

How Will I Look In The Future

To test the system’s effectiveness, the team fed it children’s pictures of people they had both adolescent and adult pictures of. This allowed them to see how effective the software was on children who aged appropriately. It was tested by presenting three images to human subjects (using Amazon Mechanical Turk).

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You’ll be shown a photo of the person as a child, and two additional photos at a certain age (say, 25)—one generated by the software and an actual photo of the person at that age. The volunteers had to indicate which of the two large pictures the child liked better.

The results seem to show that people recognized the generated image as the old version about as often as the original old image. Thirty-seven percent of respondents (out of 8,916 votes) said the University of Washington team’s approach was more likely to be an older child, with 44 percent saying the original image was more likely.

Fifteen percent think that both are equally likely to be the adult version of the child, while 5 percent think that neither is likely.

The team was shocked by this and decided to investigate whether people misrecognize adults based on photographs of their children.

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He did this by using another database of documented photographs of the same people at different ages. The team showed volunteers two pictures of the same person, at least five years apart, and asked them if they were the same person. The results showed that people are good at recognizing adults of different ages, but poor at recognizing children years later.

Taking into account the pose and the lighting, the team tried to map the created images to a “truthful” adult image. This allows you to compare the results side by side.

The team’s findings were compiled with results from other aging techniques, including Facesearch Psychomorph and a technique developed by David Ian Perrett at the University of St Andrews.

How Will I Look In The Future

The results showed that for older toddlers, the University of Washington technique outperformed all previous work.

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Future improvements to the work, according to the study’s authors, include whitening wrinkles and hair to increase the realism of older subjects, expanding the range of races, and applying the same technique to heads and torsos of different ages. to

The biggest challenge was developing a method “for fully automatic analysis of face photos taken in the wild,” said Kemmelmaker-Schlizerman, with unknown lighting, perspective and facial expression. “We have discovered a method for ‘light-aware flow estimation’ between such photographs, and it has opened up many applications, including the use of ‘big visual data’ for new face modeling and synthesis.”

Co-author Steven Seitz said in a statement: “Our extensive user studies have shown age progression results that are so convincing that people can’t tell them apart from reality. When shown images of an older child and a photo of the same person. As adults, people can’t reliably identify which photo is the real one.”

The work, which was funded by Google and Intel, is scheduled to be presented at the IEEE Computer Vision and Pattern Recognition Conference in June. From acne-positive body art to electronic tattoos, fashion futurist and trendsetter Geraldine Wherry takes a look inside the glasses. And he envisions the future of human appearance

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First of all, it is unpredictable, the future is shaped by the decisions of the present. As we search for the truths of the future, what the beauty trends of the next hundred years have in store for us and the creatures you breed. The next four decades will leave countless future people with charismatic beauty

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