Photogrammetry and Analysis of Digital Media C1712

Topics: Accident Reconstruction


Photographs and video recordings of vehicle crashes and accident sites are more prevalent than ever, with dash mounted cameras, surveillance footage, and personal cell phones now ubiquitous. The information contained in these pictures and video provide critical information to understanding how crashes occurred, and in analyzing physical evidence. This course teaches the theory and techniques for getting the most out of digital media, including correctly processing raw video and photographs, correcting for lens distortion, and using photogrammetric techniques to convert the information in digital media to usable scaled three-dimensional data. Hands-on training using actual case studies and a variety of software titles such as 3D Studio Max, PTLens, Photoshop, and PFTrack will introduce the students to the latest techniques.

Please note, this course is scheduled to end at 2:00 p.m. on Day 3 to allow attendees to make afternoon flights.

This course has been approved by the Accreditation Commission for Traffic Accident Reconstruction (ACTAR) for 21 Continuing Education Units (CEUs). Upon completion of this seminar, accredited reconstructionists should mail a copy of their course certificate and the $5 student CEU fee to ACTAR, PO Box 1493, North Platte, NE 69103.

Learning Objectives

By attending this seminar, attendees will be able to:

  • Remove lens distortion from photographs and video
  • Utilize the latest techniques in photogrammetry software
  • Accurately locate roadway evidence using photogrammetry
  • Determine crush measurements from photogrammetry
  • Create photogrammetry-based point clouds
  • Analyze video footage for object positioning and timing
  • Effectively present your findings in court

Who Should Attend

This course is geared toward individuals interested in video and photographic analysis, including engineers, accident reconstructionists and investigators, and law enforcement. Individuals working in the field of autonomous vehicles and remote sensing will also find the concepts presented relevant since the photogrammetry principles taught in the course are the same used in the cameras and sensors installed on vehicles.

You must complete all course contact hours and successfully pass the learning assessment to obtain CEUs.

DAY ONE
  • Overview of Photogrammetry
  • Use in Accident Reconstruction
    • Police use at accident sites
    • Locating scene evidence - no longer physically visible
    • Determining vehicle damage - from photographs alone
    • Photo scanning - scene and vehicles
    • Image projection (visualization, texturing, striation analysis)
    • Video analysis (speed, positions)
    • Video tracking and motion capture
    • Crash test documentation and analysis
    • Visualization - 3D animation (Orienting viewer)
  • Types and Methods of Photogrammetry
    • Aerial / Oblique
    • Close-range
    • Stereo-Photogrammetry
    • Analogue (Grid)
    • Structure from Motion (SFM)
  • Software Packages
  • Hands-on Workshop: Eyeball Photogrammetry Method - Scene Diagram
    • Review available photographs, aerial resources, and photo analysis
  • Hands-on Workshop: Photo Rectification (Grid Photogrammetry)
    • Known distance for scale, photo divisions (grid), diagram with evidence placements, compare results
  • Photogrammetry: Formal Methods - Scene
    • Review available photographs, lens distortion removal, effects on accident reconstruction, EXIF data, software
  • Hands-on Workshop: Lens Distortion Removal - library based, manual, straight line and point cloud methods
  • On-site Photogrammetry
    • Plot out police matrix on site - inform inspection
    • Hands-on workshop: reverse camera projection - photo grid for reference and line of sight methods
DAY TWO
  • Camera Matching Photogrammetry (Scene)
    • Hands-on workshop: 3D Studio Max (Autodesk) - photograph analysis; lens distortion removal; import: scan data/survey, photographs; solve for three virtual cameras; results/comparison
    • PFTrack - import: scan data/survey; photograph; solve for camera location; results/comparison
  • Video Analysis
    • Video tracking - static and moving camera
    • Speed analysis - 2D planar tracking; landmark, line-of-sight analysis
DAY THREE
  • Photogrammetry: Formal Methods - Vehicle
    • Hands on workshop: PhotoModeler - photograph analysis; lens distortion removal; import photographs; process recognizable features; obtain accurate 3D models or scan data; output, and align; compare results
    • Camera matching photogrammetry
  • Photogrammetry: Alternative Methods
    • Target based photogrammetry (Rhino Photo)
    • Hands-on workshop: photo scanning (VisualSFM) - coverage, scale; photograph vehicle; process in VisualSFM; align to 3D model for comparison; accident scene example
  • Photogrammetric Technology Applications
    • Image projection - nighttime visibility; texturing (camera projections); striation analysis
  • Admissibility
    • Range of uncertainty determination
    • References
  • Day 3 is scheduled to end at approximately 2 p.m.
Toby Terpstra and Alireza Hashemian

Toby Terstra Mr. Terpstra is a Senior 3D Analyst at J.S. Held, an international forensic company. He is located in Denver Colorado and specializes in photogrammetry, video analysis and 3D site reconstruction. He has testified in state and federal courts on civil and criminal matters. He has published in the areas of reverse camera projection, onsite photogrammetry, lens distortion correction, photo-scanning, camera-matching photogrammetry, video analysis, 3D scene reconstruction, LiDAR, and acoustics. Mr. Terpstra also serves as a peer reviewer for the SAE International, the Association of Crime Scene Reconstruction (ACSR), and the Association of Firearm and Tool Mark Examiners (AFTE). He is a certified forensic video technician and is an instructor of an ACTAR (Accreditation Commission for Traffic Accident Reconstruction) accredited, three-day course offered by SAE titled: 'Photogrammetry Analysis of Digital Media.' Hundreds of hours have been spent in the initial development of this course and new research, field work, and experiences serve to advance the course for each new offering.

Alizera Hashemian Alireza Hashemian is a senior visualization analyst and engineer at J.S. Held, a global consulting firm providing specialized technical, scientific, financial, and advisory services. He has more than twelve years of experience in the visualization field where he utilizes his skills in computer simulation, 3D modeling, animation, photogrammetry and video analysis to investigate and analyze accidents. Mr. Hashemian regularly participates in research and has published works with SAE International and ACSR (Association for Crime Scene Reconstruction) on photogrammetry, video analysis, and 3D visualization. He is a LEVA certified forensic video technician and received his Accident Reconstruction accreditation (ACTAR) in 2017. Alireza has a Master of Science degree in Mechanical Engineering from University of Colorado.

Duration: 3 Days
CEUs: 2.0

Format: Classroom

Event ID: LM129

Location: Troy, Michigan

Session Info:

8:30 a.m. - 4:30 p.m.


Fees: $1,899.00

If paying by any other method or if you have general questions, please contact SAE Customer Service.

X