NEW YORK, Sept. 12, 2017 /PRNewswire/ -- Below are experts from the ProfNet network who are available to discuss timely issues in your coverage area.
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OTHER NEWS & RESOURCES
Hurricane Insurance Claims Process and Law
Hurricane Insurance Attorney
Law Offices of Jason Turchin
Turchin is available to discuss the claims process and law involving hurricane insurance claims, including homeowner claims, flood insurance claims, and automobile insurance claims from the legal perspective: "After a catastrophic hurricane, many victims are thrown into the uncertain world of insurance claims against large insurance companies and adjusters who handle claims for a living. It is important for them to know their rights under the law and their insurance policies."
Based in Ft. Lauderdale and NYC, Turchin has handled more than 5,500 insurance claims, and is a #1 bestselling author of "My Attorney's Guide to Understanding Insurance Coverage After an Accident." He has appeared on the CBS Evening News, CNN, New York Times, Bloomberg News, Wall Street Journal, NBC Miami, CBS4, Sun Sentinel, Miami New Times, Fox News Naples, and many other print and TV media.
ProfNet Profile: www.profnetconnect.com/jason_turchin
Expert Contact: Jason Turchin, email@example.com
New iPhone Announcement/Face ID
Director, CyLab Biometrics Center; Professor, Electrical and Computer Engineering, College of Engineering
Carnegie Mellon University
Savvides, director of the CyLab Biometrics Center at Carnegie Mellon University, is an expert in facial recognition technology and is available to talk about the technology, which will likely be included in the latest iPhone model. Says Savvides: "Unconstrained facial recognition can match faces from current cameras (which are 2D) from any angle. To truly handle the facial pose issue, you need to have a 3D representation of the face so that you could do, for example, pose correction."
Savvides is working on making facial recognition completely "unconstrained" -- that is, achieving facial recognition using video footage or photos of faces captured at any angle, lighting condition, or occlusion scenario (e.g., person is wearing sunglasses, a hat, or other article blocking a portion of the face). The implications of Savvides' research include increased accuracy (e.g., fewer false-positive matches) and increased convenience to consumers (e.g., they will not need to pose themselves in any particular way for the facial recognition to work).
Video on Savvides' research: https://www.youtube.com/watch?v=dpALtSd4r24
Contact: Brianne O'Donnell, firstname.lastname@example.org
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