Treffer: Police sketch generator using generative adversarial networks.

Facial sketches drawn by a traditional artist have long occupied an exclusive place in the field of law enforcement as a quick-communicator for what somebody looks like based on eyewitness accounts when pursuing fugitives. Other studies have attempted to improve this method and compared it with all points bulletins 222 or composites. However, the creation of facial composites via applications has always been a time-consuming endeavor. This work showcases a novel use of GANs to devise an application that can morph police sketches in new way. The main purpose of this unbelievable tool, is to produce nearly natural however completely imaginary human faces with changeable sliders such as skin color, facial hair and head form. It quickly generates thousands of unique facial profiles that resemble real people. Using input from eyewitness descriptions, the generator network then improves that output accordingly to better fit with what was described verbally. As the GAN continues to train, it learns how to create detailed sketches with fine distinctions in facial features, expressions or other details. This is a major benefit for criminal investigations by speeding the process of creating an accurate suspect sketch, which could be key in identifying and catching someone wanted. [ABSTRACT FROM AUTHOR]

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