Thursday, October 14th, 2021 | 1:00 - 2:00 PM ET
Duration: 1 hour
Traditionally, crime scene processing has involved manual measurements to construct diagrammatic representations of crime scenes. This is labor and time-intensive and does not necessarily yield a complete representation of any scene. Over the past few years, LiDAR-based scanners have seen increasing popularity in aiding investigators to make more complete digital, scaled, and three-dimensional representations of crime scenes. While these systems offer a tremendous improvement over manual mapping, more recent advances in low-cost computing power and capture platforms, as well as AI/ML-augmented processing tools are now available. These tools offer the same or better ability to render crime scenes into highly accurate three-dimensional representations for a fraction of the cost and time. The webinar will focus on photogrammetry-based mapping tools to produce three-dimensional point clouds and meshes from drone-based and other image capture systems.
Detailed Learning Objectives:
Upon completion, attendees will:
1.) Become familiar with the fundamental concepts of multi-ray photogrammetry and some of the processing tools available.
2.) Understand the potential image capture platforms, such as drones and 360° cameras, used to collect data for scene mapping.
3.) Learn the potential deliverable models and user interfaces for end user investigators to be able to use scene models.
Peter Stout, Ph.D. | CEO and President of the Houston Forensic Science Center
Funding for this Forensic Technology Center of Excellence event has been provided by the National Institute of Justice.-
Please contact us at ForensicCOE@rti.org for any questions.
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