Photogrammetry and Analysis of Digital Media

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.

What Will You Learn

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

Is This Course For You

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.

Materials Provided

This data is not available at this time

Course Requirements

This data is not available at this time

Topics

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.