Lei Feng.com : This article was translated by " Tutorial " from " Imaging software predicts how you look with different hair styles, colors, appearances " . Lei Feng Network (search "Lei Feng Network" public number attention) exclusive article.
Ira Kemelmacher-Shlizerman Washington University, said: now there is a new version of the image synthesis search engine, as long as you first enter the source picture (left), then enter the common network search terms, you can get the original picture and the search term "synthetic "Results after - such as entering the original picture and "curly" (get the top line), "India" (the second line can be obtained), or "the 1930s" (the third line can be obtained).
When we go to the salon, we can point to magazine pictures and tell the hair stylist which model we want to try. Actors often need to change their appearance in order to adapt to their roles. Missing people often achieve camouflage purposes by changing their hair color and hairstyle.
But before we make a substantial change, how can we predict whether the new appearance is suitable for ourselves? Or how do we predict the appearance of a missing child who has been changed?
The computer vision researcher at Washington University has developed a new personalized image search engine called Dreamam that can help people predict how they look in different hair styles, hair colors, or images at different times, ages, and countries. , or the image after synthesis with any search term.
After uploading the source image, you can then type in a search item category, such as "Curl," "India," or "The 1930s." This software's algorithm will then find similar categories in the Internet photo collection. The image then matches your face perfectly with the searched image.
The preliminary results of this research will be announced at the SIGGRAPH (International Graphics Annual Meeting) on ​​July 25, 2016, which is also the world's largest annual conference for computer graphics and interactive technologies. Dreambit is expected to be on the line this year.
Dreambit draws on previous research on face processing, recognition, 3D reconstruction, and age prediction at UW (University of Washington, Washington) and other institutions, using a unique approach that combines all of the above algorithms to create a hybrid image.
The new software can also help show the appearance of a missing child who is deliberately disguised or who wants to escape the legal sanctions, even predicting their looks years later.
Ira Kemelmacher-Shlizerman, an assistant professor of computer vision and engineering at Washington University, and her team developed an automated age prediction software that focused on people only a while ago. And now this new system adds a variety of hairstyle options and other contextual factors.
Ira said Dreamab can predict the looks of a one-year-old boy (top row) and a four-year-old girl (bottom row) who grew up.
These new features can help people predict the appearance of a child in different conditions in the next 5 or 10 years, including red hair, curls, dark hair and even a bald head.
“We can hardly identify a person only from the face because our human identification of hairstyle and hair color is prone to bias,†Ira said. “And for missing children, people often dye or change hairstyles, so it is not enough for age prediction software to predict from changes in their faces. This is just the first step to try to predict the appearance of a missing child over time.†"She added.
Another potential application of this system is to predict the appearance of an actor in a certain role. For example, the system can match the actor Kate Blanchett with the role of Bob Dylan on the Internet and then expect Blanchett to play in the movie "I'm not there". What kind of image will the character Dylan appear?
Ira said that actors often change their appearance in order to adapt to new roles. This new system can help visualize the image of their new role. For example, these predictions show how Kate Blanchett played Dylan.
"This is a way to actually try to change your appearance but you can try out different shapes or personas ," said Ira, who led the GRAIL at the University of Washington, "When the software predicts When you look at the image of your new hairstyle, the result is exciting, and it also allows you to experience creative and imaginative situations."
This software system can analyze incoming photos and search the web for subcategories of the photo types that you want to compose, but it also matches the faces, poses and expressions of the source photos.
This image synthesis engine can accurately synthesize two photos automatically because it uses the algorithm Ira invented and a large number of photos on the Internet.
“The key is to find a collection of similar people so that you can directly copy some of the aspects of the person who looks similar enough,†Ira said, “because this system has thousands of photos For you to choose, so the result of the match is very compelling."
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