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Understanding Forensic Digital Imaging offers the principles of forensic digital imaging and photography in a manner that is straightforward and easy to digest for the professio… Read more
LIMITED OFFER
Immediately download your ebook while waiting for your print delivery. No promo code needed.
Understanding Forensic Digital Imaging offers the principles of forensic digital imaging and photography in a manner that is straightforward and easy to digest for the professional and student. It provides information on how to photograph any setting that may have forensic value, details how to follow practices that are acceptable in court, and recommends what variety of hardware and software are most valuable to a practitioner.
In addition to chapters on basic topics such as light and lenses, resolution, and file formats, the book contains forensic-science-specific information on SWGIT and the use of photography in investigations and in court. Of particular note is Chapter 17, Establishing Quality Requirements, which offers information on how to create a good digital image, and is more comprehensive than any other source currently available.
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Ms. Stein-Ferguson is licensed to practice law in the state of Indiana. She is a member of the Indiana State Bar Association, the St. Petersburg Bar Association, the Clearwater Bar Association, International Society of Forensic Computer Examiners, and the American Academy of Forensic Sciences. She is a board member of the Indiana Forensic Science Initiative and Vice-Chair of the General Practice Section of the Indiana State Bar Association. Additionally, Ms. Stein-Ferguson is active in several business organizations and does speaking engagements on computer forensics and legal technology issues in business and the practice of law.
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Before Dr. Huang joined Raytheon, he was an assistant professor of Computer Science at Purdue School of Science with joint appointment at the Indiana University School of Informatics, Bioinformatics Program at Indiana University Purdue University Indianapolis.
Dr. Huang's research areas include computer vision, pattern recognition, and machine learning on the applications of biometrics, video surveillance, and bioinformatics. During Huang's academic appointment, he received several research grants as a PI or co-PI from National Institute of Justice (NIJ) and National Institute of Health (NIH). His funded projects are related to facial biometrics, video surveillance, and forensic applications. For past 8 years, Dr. Huang taught various computer science courses in the university, including graduate level courses of Data Mining, Biometric Computing, and Bioinformatics. He received Indiana University Trustee Teaching Award in 2003 and was elected as the favorite professor of Computer Science in 2005. Dr. Huang published more than 40 articles in biometric research field. He is a member of IEEE, ACM, and Biometrics Consortium.