Image Match: Wave Fingerprints and Search
July 28, 2015
Navigate to “Deep Neural Network Can Match Infrared Facial Images to Those Taken Naturally.” The write up explains that an infrared snap of a person’s face can be matched (mapped) to a normal picture of a human’s face. The idea is that there are wave signatures. I find this interesting. The write up states:
To use such a system for correlating infrared images with natural light counterparts, then, would require a large dataset of both types of images of the same people. The duo discovered that such a dataset existed as part of other research being done at the University Notre Dame. After being given access to it, they “taught” their system to pick out natural light images of people based on half of the infrared images in the dataset they were given. The other half was used to test how well the system worked. The results were not perfect, by any means—the system was able to make correct matches 80 percent of the time (which dropped to just 55 percent when it had only one photo to use), but marks a dramatic improvement in the technology.
The approach has a number of search related applications. Worth monitoring.
Stephen E Arnold, July 28, 2015
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