Developed by computer vision researchers at the University of Washington, Dreambit builds off the team’s previous work in the fields of facial processing, three-dimensional reconstruction, and age progression.
As complicated as the underlying technology is, the system is designed to work as simply and intuitively as possible. Just upload your favorite selfie, type a keyword into a search box, and voila. You can type a specific hairstyle or type of hair (such as “curly”) or even search for places or time periods. Dreambit analyzes the image and scans its database of over 100,000 source files based on your search terms, then seamlessly blends images together to create a surprisingly realistic rendering of your new ‘do.
While this may sound like fun and games, there is also a much more serious application of the technology. Working alongside age progression software, it could potentially help in missing persons cases.
“It’s hard to recognize someone by just looking at a face, because we as humans are so biased towards hairstyles and hair colors,” said Ira Kemelmacher-Shlizerman, the lead researcher on the project, in a press release. “With missing children, people often dye their hair or change the style so age-progressing just their face isn’t enough. This is a first step in trying to imagine how a missing person’s appearance might change over time.”