Fr. 150.00

Police Photography

English · Paperback / Softback

Shipping usually within 3 to 5 weeks

Description

Read more

Informationen zum Autor Larry S. Miller is Chair of the Department of Criminal Justice and Criminology at East Tennessee State University. Dr. Miller teaches courses in the area of Law Enforcement and has worked as a police officer, criminal investigator and crime laboratory director. Dr. Miller serves as a member of the board of the National Forensic Academy. Norman Marin worked for the NYC Office of the Chief Medical Examiner from 2001-2012, where he began with DNA extraction and quantification before transferring to the Special Investigation Unit, where he worked on crime reconstruction issues involving bloodstain pattern analysis, bullet trajectory, evidence examinations, forensic photography, and the identification of latent blood through chemical enhancements. A graduate of the John Jay College, Marin now teaches at Pace University at the Dyson College of Arts and Sciences, Forensic Science program, where he teaches digital photography, among other forensic disciplines. Klappentext 7th edition. Zusammenfassung For those seeking a current and concise guide to the skills necessary in forensic photography, Police Photography , Seventh Edition, provides both introductory and more advanced information about the techniques of police documentation. Inhaltsverzeichnis 1. The Police Photographer 2. Cameras 3. Optics and Accessory Equipment 4. Light Theory and Digital Imaging 5. Photographic Exposure 6. Flash Photography 7. Crime Scene Photography 8. Motor Vehicle Incident Scene Photography 9. Evidence Photography 10. Ultraviolet and Infrared Imaging 11. Identification and Surveillance Photography 12. The Digital Darkroom

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.