Featured Post

Welcome to the Forensic Multimedia Analysis blog (formerly the Forensic Photoshop blog). With the latest developments in the analysis of m...

Wednesday, July 31, 2019

The four dimensions and image / video analysis

When someone mentions "different dimensions," we tend to think of things like parallel universes – alternate realities that exist parallel to our own, but where things work or happened differently. However, there is no FRINGE Division defending us against intruders from parallel worlds. The reality of dimensions and how they play a role in the ordering of our Universe is really quite different from this popular characterization. Understanding how they work is foundational to our work as digital / multimedia analysts.
To break it down, dimensions are simply the different facets of what we perceive to be reality (source). We are immediately aware of the three dimensions that surround us on a daily basis – those that define the length, width, and depth of all objects in our universes (the x, y, and z axes, respectively).

The first dimension, as already noted, is that which gives it length (aka. the x-axis). A good description of a one-dimensional object is a straight line, which exists only in terms of length and has no other discernible qualities.
Add to it a second dimension, the y-axis (or height), and you get an object that becomes a 2-dimensional shape (like a square).
The third dimension involves depth (the z-axis), and gives all objects a sense of area and a cross-section. The perfect example of this is a cube, which exists in three dimensions and has a length, width, depth, and hence volume.
Scientists believe that the fourth dimension is time, which governs the properties of all known matter at any given point. Along with the three other dimensions, knowing an object's position in time is essential to plotting its position in the universe.
Video and images fit well within this concept. But, it's important to understand what one is looking at when one analyzes multimedia files.

You see, multimedia takes the 4-dimensional world and records it in a 2-dimensional medium. Images and video are flat - X and Y only. There is an element of time as well. But, the third dimension is treated differently. The third dimension gets skewed a bit, causing a perspective effect.
Perspective, in this case, is an approximate representation of an image as it is seen by the eye and processed by the brain. The two most characteristic features of perspective are that objects appear smaller as their distance from the observer increases; and that they are subject to foreshortening, meaning that an object's dimensions along the line of sight appear shorter than its dimensions across the line of sight.

Because of this effect, it's important to master a few concepts as well as to have a valid toolset when working in this space.

Conceptually, Nominal Resolution is the numerical value of pixels per inch as opposed to the achievable resolution of the imaging device. In the case of digital cameras, this refers to the number of pixels of the camera sensor divided by the corresponding vertical and horizontal dimension of the area photographed. (SWGDE Digital & Multimedia Evidence Glossary, Version 3.0) In video and image, the farther away from the camera one gets, or the deeper into the scene one gets, the lower the nominal resolution becomes. At a certain point, nominal resolution moves from pixels per unit of measure to unit of measure per pixel (e.g. 2cm / px vs 2px / cm).

The problem with validity in measurements in this discipline is that the majority of freeware, even Photoshop, treats every pixel the same. Basic planar geometry says that a pixel equals a real world measure no matter where in the image you measure. But, with depth / perspective, we know this can't be the case. Thus, we need a valid toolset for Single Image Photogrammetry.

Single Image Photogrammetry uses elements within the image itself to estimate the measure of unknown objects / subjects (e.g. a doorway's known height informs the measure of a person who walks by / through). Single Image Photogrammetry is my preferred method of photogrammetry as it employs only the evidence item and does not require the creation of additional files.

What do I mean by this - creation of additional files?

When utilizing reverse projection, for example, you must create a brand new recording. Assuming that you use the same recorder and camera/lens that was used in the creation of the evidence file (and that their settings remain unchanged from the time of the original recording), this new piece of evidence can be associated with the evidence file with a simple overlay. Similarity metrics can be employed to verify that the camera/lens position/settings haven't changed.

BUT... you must understand what reverse projection is from an evidentiary standpoint. You're creating a demonstrative exhibit when you engage in reverse projection (you must adequately explain of what your exhibit is demonstrative). You are creating a piece of evidence to demonstrate a single theory of the case. Thus, multiple reverse projection exhibits would be required in order to satisfy Daubert's requirement to account for multiple theories. It's also important to know that reverse projection alone is not measurement. It's an overlay. Because of compression and other errors, there will be a range of values possible for your eventual measure - not a single value. Reverse projection can assist in a follow-up measurement, such as Single View Metrology. Thus, the demonstrative (reverse projection) combined with a valid measure become reverse projection photogrammetry.

With the three dimensions properly accounted for, it's time to address the fourth dimension (pun intended). As noted in previous posts, time information extracted from multimedia containers is not "ground truth." It can't be assumed to be accurate. These devices are nothing more than a $7 box of parts. Thus, in order to attempt to link the timing information in the container to previous events, a valid experiment must be run.

All of this is to say, measuring objects / subjects within in evidence footage is complex and requires a trained / experienced analyst employing a valid toolset. If you'd like to continue this discussion and move beyond simple vendor training (which buttons do what) and into the world of science and experimentation, we'd love to see you in one of our classes.

No comments: