Dynamic Impact Deformation Analysis Using High-speed 

Cameras and ARAMIS Photogrammetry Software

by Jian H. Yu and Peter G. Dehmer

ARL-TR-5212 June 2010

Approved for public release; distribution unlimited. 
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Army Research Laboratory

Aberdeen Proving Ground, MD 21005-5425

ARL-TR-5212 June 2010

Dynamic Impact Deformation Analysis Using High-speed 

Cameras and ARAMIS Photogrammetry Software

Jian H. Yu and Peter G. Dehmer

Weapons and Materials Research Directorate, ARL

Approved for public release; distribution unlimited. 
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Dynamic Impact Deformation Analysis Using High-speed Cameras and ARAMIS 

Photogrammetry Software

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Jian H. Yu and Peter G. Dehmer

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13. SUPPLEMENTARY NOTES

14. ABSTRACT

This report is a user’s manual for ARAMIS (version 6) image photogrammetry for high-speed impact deformation. ARAMIS

is a non-contact measurement system that calculates the strain history of a deformation event. The software renders a series of 

stereo images into three-dimensional displacement vectors and strain vectors as functions of time. This manual is intended to

provide an overview of the operating procedure adapted for high-speed impact testing. Instructions on the use of the ARAMIS 

system are illustrated with an example of a high-speed projectile impact on a helmet.

15. SUBJECT TERMS

High-speed, impact, deformation, photogrammetry, DIC, ballistic, FSP, ARAMIS, image analysis, 3-D displacement, fragment, 

helmet

16. SECURITY CLASSIFICATION OF: 

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 ABSTRACT

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19a. NAME OF RESPONSIBLE PERSON

Jian H. Yu

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(410) 306-0698

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iii

Contents

List of Figures iv

Acknowledgments v

1. Introduction 1

2. Hardware 1

2.1 Fragment Simulating Projectile (FSP) Launching Apparatus ........................................ 1

2.2 High-speed Cameras....................................................................................................... 1

2.3 Hardware Settings for the Helmet Impact Example ....................................................... 2

3. Image Calibration for ARAMIS 2

3.1 Calibration Setup ............................................................................................................ 2

3.2 Calibration File Generation ............................................................................................ 7

3.3. Calibration Troubleshooting ........................................................................................... 10

4. Target Preparation 11

5. Deformation Analysis 13

5.1 Computation Setup ....................................................................................................... 13

5.2 Facets............................................................................................................................ 16

5.3 Strain Calculation ......................................................................................................... 17

6. Other Parameter Settings 17

6.1 Stage Parameter Settings .............................................................................................. 17

6.2 Facet Size and Facet Step ............................................................................................. 18

6.3 Noise Filter ................................................................................................................... 19

7. Common Problems During Image Analysis 20

Distribution List 21
iv

List of Figures

Figure 1. Two Phantom high-speed cameras for generating stereo images................................... 2

Figure 2. Calibration images taken in at the initial position of the calibration panel. ................... 3

Figure 3. Calibration images where the calibration panel was moved closer to the cameras 

at a distance no less than the expected deformation displacement of the target. ...................... 4

Figure 4. Calibration images where the calibration panel was moved away from the 

cameras...................................................................................................................................... 4

Figure 5. Calibration images where the calibration panel was moved back to its initial 

position, but with a tilt of 40° away from the line of sight. ...................................................... 5

Figure 6. Calibration image where the calibration panel was rotated 180° about its plane 

normal axis. ............................................................................................................................... 5

Figure 7. Calibration images where the calibration panel was moved back to its initial 

position but with its plane normal axis parallel to the left camera, showing an image 

taken for each 90° rotation. ....................................................................................................... 6

Figure 8. Calibration images where the calibration panel was moved back to its initial 

position but with its plane normal axis parallel to the left camera, showing images taken 

by the right camera with the panel facing it. ............................................................................. 6

Figure 9. Image calibration screen displays. .................................................................................. 7

Figure 10. Snap the images for the calibration............................................................................... 8

Figure 11. Accepted calibration image........................................................................................... 9

Figure 12. Calibration result display. ........................................................................................... 10

Figure 13. Rejected calibration images: a) dots are too small, b) some dots are not 

processed, and c) dots are not recognized. ............................................................................. 11

Figure 14. Ideal apparent dot size: ~5×5 pixels (each square is a pixel)...................................... 12

Figure 15. Painted helmet............................................................................................................. 12

Figure 16. Starting a new 3D project calculation.......................................................................... 13

Figure 17. Deformation analysis parameters setup windows....................................................... 14

Figure 18. Stage selection windows............................................................................................. 15

Figure 19. Starting points for deformation analysis..................................................................... 16

Figure 20. Computed net displacement on the helmet, 1.82 ms after impact: a) Facet size = 

15, facet step = 13 and b) facet size =15, facet step = 11........................................................ 18

Figure 21. Computed net displacement on the helmet, 1.82 ms after impact: a) Facet size = 

11, facet step = 9 and b) facet size = 9, facet step =7.............................................................. 19

Figure 22. The noise filter menu . ................................................................................................ 20
v

Acknowledgments

We thank Dr. Shawn Walsh of RDRL-WMM-D for providing us the helmet. We thank Mr. Tim 

Schmidt of Trilion Quality Systems for training us on using the ARAMIS system.
vi

INTENTIONALLY LEFT BLANK.
1

1. Introduction

Photogrammetry is a technique that uses photographic images to determine the geometric 

properties of an object. The technique involves digitizing an imaged pattern on an object before 

and after a deformation has occurred. ARAMIS (GOM mbH, Braunschweig, Germany) is a 

commercial software package for three-dimensional (3-D) image photogrammetry. The 

software is an optical 3-D deformation measuring system that translates the movements of 

pixels in a series of stereo photographs into displacement vectors. By combining high-speed 

stereo photography and photogrammetry, one can obtain a detail history of a target that 

undergoes fast rate of deformation. 

This report is a user’s manual for ARAMIS (version 6) image photogrammetry for high-speed 

impact deformation. Instructions on the use of the ARAMIS system are illustrated with an 

example of a high-speed projectile impact on a helmet.

2. Hardware

2.1 Fragment Simulating Projectile (FSP) Launching Apparatus

For our demonstration, we used a 0.22-caliber FSP launching apparatus to simulate the effects 

of high-speed fragment striking a helmet. The standard operating procedure and the setup for 

the FSP launch apparatus are detailed in another report1

2.2 High-speed Cameras

. 

ARAMIS can accept TIFF images from any calibrated charge-coupled device (CCD) camera. 

In our demonstration, we used two Phantom high-speed cameras (model v7, Vision Research, 

Wayne, NJ) to generate stereo image pairs of the impact area. The lines-of-sight of the cameras 

were angled at no more than 25° with respect to each other (figure 1). The angle setting does 

not need to be exact; however, it is preferred that the lines-of-sight of the cameras are co-planar 

and the focal plane of the two cameras is the same. 

 1 Yu, J.; Dehmer, P.; Sands, J. The Current Capabilities on Dynamic Impact Testing; ARL-TR-4496; U.S. Army Research 

Laboratory: Aberdeen Proving Ground, MD, July 2008.
2

Figure 1. Two Phantom high-speed cameras for generating stereo images.

2.3 Hardware Settings for the Helmet Impact Example

We used a 250- by 200-mm calibration panel. The focal length of the lens was set to 28 mm 

and the f-stop was set at f/8. The line-of-sight was 35° with respect to the path of the projectile 

and the cameras were ~20° apart. The distance between the cameras and the impact zone was 

~1 m. The resolution of the images was set to 304 x 224 pixels, the exposure time to 20 ms, and 

the inter-frame time to 44 ms. A total of 300 pairs of sequential images were selected for 

photogrammetric analysis. All images were saved in TIFF format and placed under two file 

directories: “left” and “right” for the left and right camera images, respectively. The files were 

named sequentially, from “1.tif” to “500.tif” for each series. 

3. Image Calibration for ARAMIS 

3.1 Calibration Setup

For image calibration, we set the resolution of the cameras to their maximum value 

(800×600 pixels for the Phantom v7). The calibration process involves taking a series of 

images on a calibration panel. There are several panel sizes from which to choose. The ideal 

panel size is the one that occupies the field-of-view of the cameras fully. If the panel size is 

smaller than the field-of-view, the parameters need to be adjusted during the calibration process 

(see section 3.2). 

In the first step of the calibration process, the calibration panel was placed near the proposed 

impact location. Then, the lines-of-sight for the cameras were focused and centered on the 

calibration panel (figure 2a). The crosshairs indicate the aiming point of the cameras. The 
3

cameras and lenses were locked in this position until the end of the entire impact experiment. 

Any camera or lens movement during the experiment would cause error in the displacement and 

strain calculations.

The first five pairs of images were taken by the two cameras simultaneously. The first of the 

five pairs of images were taken in at the initial position of the calibration panel (figure 2). For 

the second pair of images, the calibration panel was then moved closer to the cameras, at a 

distance no less than the expected deformation displacement of the target (figure 3). For the 

third pair, the calibration panel was moved away from the cameras (figure 4). These two 

distances did not need to be exact but had to be within the limit of the calibration distance for 

the calibration panel (see the ARAMIS User Manual2

The remaining images were taken by each camera separately. The calibration panel was moved 

back to its initial position, but with its plane normal axis parallel to the left camera. One image 

was taken for each 90° rotation (figure 7). Similarly, images were taken by the right camera 

with the panel facing it (figure 8). 

). For the fourth pair of images, the 

calibration panel was moved back to its initial position, but with a tilt of 40° away from the line 

of sight (figure 5). The calibration panel was then rotated 180° about its plane normal axis for 

the fifth pair of images (figure 6). 

Figure 2. Calibration images taken in at the initial position of the calibration panel. 

 2 ARAMIS User Manual, v6; GOM mbH, Germany, 4 April 2007, p 25 (39).
4

Figure 3. Calibration images where the calibration panel was moved closer to the cameras at a distance no 

less than the expected deformation displacement of the target.

Figure 4. Calibration images where the calibration panel was moved away from the cameras. 
5

Figure 5. Calibration images where the calibration panel was moved back to its initial position, but with a tilt 

of 40° away from the line of sight.

Figure 6. Calibration image where the calibration panel was rotated 180° about its plane normal axis.
6

Figure 7. Calibration images where the calibration panel was moved back to its initial position but with its 

plane normal axis parallel to the left camera, showing an image taken for each 90° rotation.

Figure 8. Calibration images where the calibration panel was moved back to its initial position but with its 

plane normal axis parallel to the left camera, showing images taken by the right camera with the 

panel facing it.

The image files were saved in TIFF format and placed in two separate directories: one for the 

left camera and the other for the right camera. As mentioned previously, the images were 

numbered from 1.tif through 9.tif in the sequence that the images were taken. 
7

3.2 Calibration File Generation

While the calibration procedure can be performed at any time during an experiment, the relative 

position of the cameras must not be moved during the experiment. The focus and the f-stop also 

must be fixed. 

The ARAMIS software can run on Windows XP, Vista, or Linux. We used ARAMIS v6.0.2-4

for Linux. The image calibration screen is accessed through Sensor > Calibration > Calibration 

from Image Series (figure 9). Under the Server mode option, set the Mode to “Normal.” Under 

Image series, select “Camera 1” and “Camera 2,” respectively, for the first images from the left 

and right cameras. Under the Camera option, set Edit camera to “Phanotomv7.” Note: 

Selecting for other CCD cameras is also possible. Enter the name of the calibration file under 

the Calibration file option. Then click the Next button to go to the Calibration from Image 

Series box.

Figure 9. Image calibration screen displays.

In the Calibration from Image Series box, the user can set calibration parameters for each 

calibration panel by right-clicking the desired (highlighted) panel, and then selecting the Edit 

option. The values in the “Name,” “Calibration scale,” “Cert. Temp.,” and “Exp. Coff.” fields 

should not be changed. In the Advanced tab, under the Sensor settings, the Focal length should 

be set to the current focal length of the lens on the cameras. Above that, under Parameter, there 
8

are two adjustable parameters, which are used to generate a valid calibration file. The Min. 

ellipse radius value shows the dot size threshold for the software to recognize the smallest dot 

on the calibration panel. The Ellipse quality value shows a measurement of the roundness of 

the dots that the camera is able to capture. By default, the Min. ellipse radius is 3 (pixels) and 

the Ellipse quality is 0.4. If the calibration panel occupies about half the field-of-view area, 

then the Min. ellipse radius should set to 1.5 (pixels). If the round dots are somewhat distorted, 

the Ellipse quality should set to a value lower than 0.4. Once these values have been set, click 

the Ok button, which opens the Calibration from Image box. 

Click on the Finish button to start the calibration process. The Snap button advances (figure 10) 

the calibration images one at a time. If the calibration accepts the image, a green grid will 

overlay the calibration panel and number the dots from 1 to 99 (figure 11). A calibration file is 

generated at the end of the process.

Figure 10. Snap the images for the calibration.
9

Figure 11. Accepted calibration image.

The calibration result needs to be checked for validity (figure 12). The Calibration deviation 

indicates calibration accuracy and should be less than 0.04. The Camera angle is the actual 

angle between the cameras. The Camera variance should be around ±40°. The Height variance 

value must be less than any of the three values listed for the Measuring volume. If any of above 

parameters is not within the acceptable range, the calibration file is not acceptable. The only 

way to solve this problem is to redo the image calibration procedure. 
10

Figure 12. Calibration result display.

3.3. Calibration Troubleshooting

In some cases, where the panel size is smaller than the field of view or the dots are distorted by 

the lens or view screens, the two calibration parameters must be adjusted to generate a 

calibration file. The following samples illustrate how to correct this problem during calibration.

If the calibration does not accept the first set of images using the default parameters 

(figure 13a), the Min. ellipse radius value is set far too high. If the first set of images is 

accepted but some of dots are not processed (figure 13b), the Min. ellipse radius value is set 

slightly high. In both cases, lowering the Min. ellipse radius value should solve these problems. 

If the calibration process cannot detect any dots and the image panel is overlaid with a red grid, 

then the Ellipse quality value should be adjusted either higher or lower than 0.4, depending on 

how round the dots appear in the image (figure 13c). 
11

a)

b)

c)

Figure 13. Rejected calibration images: a) dots are too 

small, b) some dots are not processed, and c) dots 

are not recognized.

4. Target Preparation

For ARAMIS to track the deformation, the target has to be painted with dots. There are several 

ways to paint the dots onto the target: paint a stochastic pattern on the target with a spray can, 

paint the target with a stencil, or color in the dots with a permanent marker. The paint can be 

any color; however, the paint must exhibit a high contrast to the target’s surface. 
12

The ideal apparent dot size is ~5×5 pixels as it is rendered in an image file. The apparent dot 

size depends on the focal length of the lens; the distance between the camera and the target; and 

the resolution setting of the image. The best way to determine the required dot size is to take an 

image of painted dots of various sizes; the desired dot size is the one that appears to be ~5×5 

pixels (figure 14).

Figure 14. Ideal apparent dot size: ~5×5 pixels (each square is a pixel).

For the helmet used in the demonstration, we painted on the dots with a permanent marker. The 

dots were ~4.5 mm in diameter and were separated by an average of 2.5 mm space between the 

dots (figure 15). 

Figure 15. Painted helmet.
13

5. Deformation Analysis

5.1 Computation Setup

To start the deformation analysis, under File, select “New Project” and enter a name for the 

project (figure 16). After naming the project and selecting 3D analysis, the project parameter 

screens opens (figure 17). The details on selecting appropriate parameters are summarized in 

sections 5.2 and 6 of this report. The default parameters are used here. 

Figure 16. Starting a new 3D project calculation.
14

Figure 17. Deformation analysis parameters setup windows.

Advance each parameter setting menu by clicking the Next button (figure 18). Use the default 

settings first, then refine the values later if necessary (see section 6). After setting the 

parameters, the next step is to access the Stage menu by clicking Stage, and then selecting “Add 

Stage.” Click “Select images” to add images for the analysis, and then click the Next button to 

select images for the left and right cameras. Under the “1” tab and “2” tab, select the first 

images for the left and right camera, respectively. For the calibration file selection, enter the 

name of the calibration file that was generated in section 3.2.
15

Figure 18. Stage selection windows.

To begin the calculation, a starting facet has to be defined. The starting facet tells the program 

where to start the displacement calculation. The best starting facet location is away from the 

deformation zone, where there is no or little deformation. It is preferable to define several 

starting facets (indicated by the three arrows in figure 19) to surround the deformation zone. In 

the case a crack develops on the specimen during the deformation, the crack can obscure the 

starting facet, causing the calculation to end prematurely. Having multiple starting points 

allows the calculation to continue at facets where there are no obscurations. The starting point 

facet is selected by using “control + left mouse click” on the desire facet. Once the starting 

points are selected, the computation begins by clicking the hourglass icon. 
16

Figure 19. Starting points for deformation analysis.

5.2 Facets

The ARAMIS program partitions the pixels on the image into small groups called facets, and 

then computes the displacement by tracking the relative movements between the facets. Each 

calculated facet becomes a data point. The default facet size is 15×15 pixels with a facet step of 

13 pixels, which means the facets overlap each other by 2 pixels sides (15–13 = 2). The 

measurement accuracy increases when using a larger facet size; however, any local deformation 

within the facet is ignored. A small facet size captures the localized effect better. The facet size 

should not be smaller than the dot size. The facet step is usually set to 2 or 3 pixels less than the 

facet size width. With more pixels overlapping (smaller facet step), more data points are 

calculated. 

Hour-glass icon to start computation
17

5.3 Strain Calculation

ARAMIS has a built-in algorithm to compute the strain field. However, the strain calculation 

should be used with caution, because the algorithm assumes the deformed body is continuous. 

Only the in-plane strains in the 11 and 22 directions are computed from the displacement field. 

The strain in the 33 (out-of-plane) direction is calculated by plane stress or plane strain models. 

Incompressibility of the solid body is assumed. 

There are two ways to compute the strain from the data points: linear strain computation and 

spline strain computation. The linear strain computation uses displacement data points (facets 

points) to calculate the strain, whereas the spline strain computation interpolates the 

displacement data points to create additional points first and then uses both the interpolated and 

original data points to calculate the strain. 

The default linear strain computation size is three, which means a total of nine neighboring facet 

points, including the center facet, are used to compute the strain at the center facet. A large 

computation size reduces the noise, but it also may reduce the total number of strain 

computation points. A validity quote of 100% means 100% of the neighboring facets points 

must be present in order to compute the strain. This value is usually not set to 100%. Instead, it 

is set to 55% in order to compute the strain near the edges or cracks on the target. 

The spline strain computation is able to compute the strain in a location where there is a small 

radius of curvature. The spline strain can calculate the strain on the surface or in the middle of 

the target. There are also two ways to present the computed strain results: the total strain 

method and the step-by-step method. The first method uses the first stage as the reference 

stage, whereas the latter method always uses the previous to current stages. To compute the 

stress on the target, the material properties, such as the Young’s modulus, are required. The 

plane stress model is appropriate for thin materials, whereas the plane strain model is suitable 

for thick material. 

6. Other Parameter Settings

6.1 Stage Parameter Settings

If the picture files contain metadata about the frame rate, the inter-stage time is automatically 

computed. Otherwise, the stage number represents the inter-stage time. The computation 

template option can be set to “High Accuracy” for all calculations (figure 17). The intersection 

deviation value can be set to 0.3 pixels or higher, which is a criterion to accept or reject a 

computed facet point depending on the deviation between measurements from the two cameras. 

Setting a value higher than 0.3, however, can lead to a result value error. 
18

6.2 Facet Size and Facet Step

The maximum displacements on the impact zone were first computed with the default settings, 

and then with other computational settings for various facet sizes and step sizes. Using the 

default settings, the displacement profile (figure 20a) showed a sharp deformation at the apex of 

the impact zone. On the helmet, the apex of the impact of zone was actually quite blunt. Using 

a smaller facet step (11 pixels), the computed displacement profile (figure 20b) showed a more 

blunted feature at the apex than the default computation. Using a facet size of 11 and a facet 

step of 9, more features on the impact zone were captured (figure 21a), especially near the edge 

of the impact zone. If the facet size was decreased further to 9 pixels, missing facet points 

started to appear (figure 20b). The facet size was too small to track the movement of the dots. 

In general, the facet step can be set as small as 3. In the helmet case, setting the facet size and 

the facet step as 11 and 9, respectively, yielded a more accurate result than other settings. 

a) Facet size = 15, facet step = 13

b) Facet size =15, facet step = 11

Figure 20. Computed net displacement on the helmet, 1.82 ms after impact: a) Facet size = 15, facet step = 13 

and b) facet size =15, facet step = 11.
19

a) Facet size = 11, facet step = 9

b) Facet size = 9, facet step = 7

Figure 21. Computed net displacement on the helmet, 1.82 ms after impact: a) Facet size = 11, facet step = 9 

and b) facet size = 9, facet step =7.

6.3 Noise Filter

To reduce noise, the filtering option can be accessed by selecting the Results menu and then 

Filter. Usually, an average run of 2 and a size of 3 are sufficient to remove the noise 

(figure 22). Any higher settings can induce errors in the actual measurement. 
20

Figure 22. The noise filter menu .

7. Common Problems During Image Analysis 

We encountered two main problems during the image analysis. For each problem, we offer 

possible solutions.

First, the images were too fuzzy for analysis:

• The speed of the camera is too slow, so we suggest increasing the frame rate and 

decreasing the exposure time.

• To reduce the heat wave distortion, we suggest using an infrared (IR) filter on the light 

source. 

• We suggest increasing the depth of focus of the cameras, if possible (this would require 

recalibrating the cameras).
21

Second, there were missing facets:

• We suggest increasing the facet size.

• There was not enough contrast, we suggest painting more dots.

• The illumination is dark or too bright; we suggest increasing or decreasing the light 

intensity.

• There were spots of glare on the impact site. We suggest painting the impact site with a 

flat black paint, if possible, and using a flat yellow paint as contrast. Also, using a light 

diffuser or a diffused light source would help.

• The paint did not adhere to the surface of the target. We recommend using Sharpie® ink.

• Cracks and chips developed on the target during the impact. We recommend using the 

Interpolate function; however, it may give an inaccurate result.

 
22

No. of

Copies Organization

1 ADMNSTR

ELEC DEFNS TECHL INFO CTR

ATTN DTIC OCP

8725 JOHN J KINGMAN RD STE 0944

FT BELVOIR VA 22060-6218

3 US ARMY RSRCH LAB

ATTN IMNE ALC HRR 

MAIL & RECORDS MGMT

ATTN RDRL CIM L TECHL LIB

ATTN RDRL CIM P TECHL PUB

ADELPHI MD 20783-1197

1 US ARMY RSRCH LAB

ATTN RDRL CIM G T LANDFRIED

BLDG 4600

ABERDEEN PROVING GROUND MD 

21005-5066

5 US ARMY RSRCH LAB

ATTN RDRL WMM B

 M VANLANDINGHAM

 J YU

ATTN RDRL WMM D

 S WALSH

 L VARGAS-GONZALEZ

ATTN RDRL WMM E

 P DEHMER

BLDG 4600

ABERDEEN PROVING GROUND MD 

21005-5066

No. of

Copies Organization

1 US ARMY RSRCH LAB 

ATTN RDRL SLB D

 J GURGANUS 

BLDG 1068

ABERDEEN PROVING GROUND MD 

21005-5066

1 US ARMY RSRCH LAB 

ATTN RDRL SLB D 

 D HISLEY

BLDG 238

ABERDEEN PROVING GROUND MD 

21005-5066

2 US ARMY RSRCH LAB

ATTN RDRL WMP B

 C HOPPEL

 R KRAFT

BLDG 390

ABERDEEN PROVING GROUND MD 

21005-5066

TOTAL: 14 (1 ELEC, 13 HCS)