This is an amazing and profoundly creepy technological study of human capability when aligned with image capture advancement. In essence photo scientists are able to retrieve the mirrored images from the eyeballs human subjects being photographed. When these images are then viewed by people familiar with the captured reflection, humans are able to identify who is in the images with around 80% accuracy.
Forensic investigators can data mine the reflected images in the eyeballs of photographed people to identify location, geography and other people in view of the person being photographed.
(Plos.org) Cameras are routinely seized as evidence during criminal investigations [1]. Images of people retrieved from these cameras may be used to piece together networks of associates, or to link individuals to particular locations.
In particular, it may be desirable to identify the photographer, or other individuals who were present at the scene but were not directly captured in the photograph. Bystander identification may be especially important when the images record criminal activity, as when hostage takers or child sex abusers photograph their victims [2] [3].
Previous psychological research has established that humans can identify faces from extremely poor quality images, when they are familiar with the faces concerned [4]–[7]. For example, Yip & Sinha [7] found that viewers could identify blurred photographs of familiar faces with equivalent image resolutions as low as 7×10 pixels (see Figure 1).
Here we exploit the robustness of familiar face recognition to mine high-resolution portrait photographs for latent information. Specifically, we show that the faces of hidden bystanders can be identified via reflections in the eyes of photographic subjects.
Corneal analysis has previously been used to recover coarse aspects of the physical environmental, such as ambient lighting conditions [8] [9]. The present findings demonstrate that corneal reflections can reveal surprisingly rich information about the social environment too. (read full study)
Amazing Technology
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