Out of Shadows: New tech allows face recognition in utter darkness
German researchers have developed a new technology that can identify a person in poor lighting or even in absolute darkness thus potentially solving one of the main issues of the modern face recognition systems.
Today’s facial recognition systems are based on matching clean and well-lit photos taken in the broad light. This poses a problem for law enforcement and security services when their object is in the shade.
However, a group of German scientists claim to have found a solution to this as they develop a new type of face-recognition system that analyzes a person’s thermal signature instead of relying on traditional methods.
As a part of the new study, Saquib Sarfraz and Rainer Stiefelhagen, two computer scientists from the Karlsruhe Institute of Technology, Germany, created a system that analyzes mid- or far-infrared images and matches them with the ordinary photos thus allowing the people’s faces to be recognized.
However, such matching also poses a challenge for computer systems as connection between human appearance in visible and infrared light is highly nonlinear. The way human face emits thermal signatures when infrared images are taken is absolutely different from the way the face reflects light during a regular photo session.
Additionally, thermal emissions vary depending on the environment temperature, temperature of the skin, person’s activity level or even a change of expression.
Besides, the images taken by infrared cameras usually have much lower resolution than normal photos. All these factors make the matching of two types of images a challenging task.
The research team managed to overcome this difficulty by using the so-called deep neural network system.
Read the rest: rt.com