Researchers from University of Washington has developed new software that can predict how a hairsytle or color will look on you
Selecting a perfect hairstyle for yourself is a difficult task because you can never be quite sure whether new hairstyle fits you or complement your overall appearance.
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Now, researchers from University of Washington have found a new way to deal with this problem. They have developed new software called Dreambit that lets a person imagine how he/she would look with different hairstyles without trying them physically and help them find a suitable hairdo for themselves. It can even work as a time machine which can take a person backwards in time and shows how a hairstyle or color would look on him if he had been in that specific time period.
All a person need is to upload his photograph and type a search term such as “curly hair,” “India” or “1930s.” The software will search internet photo collections for similar images in different categories and seamlessly give him an entirely new look.
The software actually sifts through hundreds of thousands of photographs from internet and copies certain elements of the appearance of two people who looks similar to each other. Though software can change looks but keeps intact the original face shape, pose and expression.
“This is a way to try on different looks or personas without actually changing your physical appearance,” said developer Ira Kemelmacher-Shlizerman. “While imagining what you’d look like with a new hairstyle is mind blowing, it also lets you experiment with creative imaginative scenarios.”
The new software is based on previous researches involving facial processing, recognition, three-dimensional reconstruction and age progression. Kemelmacher-Shlizerman herself developed an age progression software previously that focused only on a person’s face. Combining those algorithms and adding new options, researchers have created software that can blend images perfectly and come up with a different photograph representing a specific period, country and age. For instance, it can predict what a child can look many years ahead under different circumstances like in his teen, adulthood and subsequent phases.
In this way, software can also help find missing child who have been purposefully disguised or it can help imagine how they would look if few years have gone by.
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“With missing children, people often dye their hair or change the style so age-progressing just their face is not enough,” said Kemelmacher-Shlizerman. “This is the first step in trying to imagine how a missing person’s appearance might change over time.”