Javier Schloemann is a Senior Staff Scientist in the SAS R&D Analytics Division. Among other things, he develops algorithms and software to enhance SAS' ability to provide analytics in the areas of computer vision and image processing. With a diverse background in the area of signal processing, Javier enjoys applying his knowledge to many kinds of signals, from wireless communication transmissions to recordings of speech to photographic images and beyond. He received BS and MS degrees in Electrical and Computer Engineering from Clemson University and a Ph.D. in Electrical Engineering from Virginia Tech's Mobile and Portable Radio Research Group (now Wireless@VT).
The computer vision team was recently presented with the following challenge concerning image matching performance. An insurance company has the capability to submit claims and supporting materials digitally via an online interface. They need, however, to be able to detect when images already used in previous claims have been resubmitted
