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Evaluation of 3D-Projection
Image Capture
Peter D. Burns, Burns Digital Imaging
Don Williams, Image Science Associates
pdburns@ieee.org
© 2015 Peter D. Burns and Don Williams
Introduction
• Now common to monitor imaging performance for acquisition
• Important aspects of imaging practice influence
• Lighting
• Camera position and settings
• Lens selection and settings
• We now have guidelines for controlling variation
• FADGI Guidelines
• Metamorfoze Preservation Imaging Guidelines
• What about 3D objects?
• Can we adapt current methods?
• Simple, repeatable evaluation
2
Object-level target
2-D projection images
3
Test objects
• Aimed at visual evaluation if
lens focus
• Note fixed geometry
Object-level targets
4
Arthur M. Sackler and Freer Galleries of Art
1
2
3
• Intra-image variation
• Repeated edge features to
measure image resolution
• 3 measurements for 3
positions
• Used to monitor performance
• Quality assurance for digital
collections
• Mostly used for near-flat
objects and documents
• Inter-image variation
measurement
Example use of test targets
5
Arthur M. Sackler and Freer Galleries of Art
• Test chart normal to lens axis
• Works well for evaluating imaging
performance in primary plane
through the object
camera
lens
chart
holder
test chart
• What about performance with
scene depth ?
- Optical depth of field
Use of tilted test chart
• Tilt target to cover depth of
object
• Repeated test features now
sample scene depth
6
camera
lens
chart
holder
test
chart
Holder courtesy of Image Science
Associates
• Adjustable chart holder
• Maintains object depth as
camera angle is adjusted
Experiment
7
• Image capture at Cooper Hewitt, Smithsonian Design Museum
• Mass digitization effort, Nov. 2014
• Measure image resolution as per standard methods
• Test chart
• Analysis software
• Adapt to sample scene depth
• Digital view camera by Picturae BV
• Upper part of test chart is tilting way
from camera
View camera
8
Film or
detector plane
Lens plane
Plane of
Sharp focus
Lens axis
Scheimpflug intersection
• Lens is tilted to vary the plane of sharp focus
• Used in architectural photography to change camera
perspective
Fixed-lens results
9
0 5 10 15
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
Frequency, cy/mm
SFR
1
2
3
1
2
3
Tilted-lens results
10
1
2
3
0 5 10 15
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
Frequency, cy/mm
SFR
1
2
3
Simplified edge target
11
• Nikon DSLR camera, zoom lens
• Simple extended edge for image
resolution
• Uniform areas to evaluate illumination
variation
Single edge
chart
Test image
Camera aperture series
12
• Capture series oft test images varying lens aperture setting
• Automated evaluation of image depth of focus
Aperture series results
13
Illumination profile measurement
14
• Illumination profile based on light
uniform chart region
• Computed are average pixel row in
the region
Single edge
chart
Distance, cm
0 1 2 3 4 5 6 7 8 9
Profile
180
185
190
195
200
205
210
215
220
225
230
• Uniform lighting may not be
the goal
• Consistency normally is
15
Conclusions
1. Methods and tools for monitoring of imaging performance
are well-established for near flat objects
2. We investigated adapting these for 2D, perspective images
of 3D objects
• Both DSLR and view camera testing was completed
• Objective-level test targets
• Tilted chart used to sample scene depth
• Chart holder with adjustable angle
3. Image resolution
• Multiple region selection
• Reference analysis (unchanged) was used
4. illumination uniformity evaluated
Acknowledgements:
16
Many thanks to Picturae BV team working at the Cooper Hewitt,
Smithsonian Design Museum
Handmade toy train, UK c. 1958

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Evaluation of 3D-Projection Image Capture

  • 1. Evaluation of 3D-Projection Image Capture Peter D. Burns, Burns Digital Imaging Don Williams, Image Science Associates pdburns@ieee.org © 2015 Peter D. Burns and Don Williams
  • 2. Introduction • Now common to monitor imaging performance for acquisition • Important aspects of imaging practice influence • Lighting • Camera position and settings • Lens selection and settings • We now have guidelines for controlling variation • FADGI Guidelines • Metamorfoze Preservation Imaging Guidelines • What about 3D objects? • Can we adapt current methods? • Simple, repeatable evaluation 2 Object-level target
  • 3. 2-D projection images 3 Test objects • Aimed at visual evaluation if lens focus • Note fixed geometry
  • 4. Object-level targets 4 Arthur M. Sackler and Freer Galleries of Art 1 2 3 • Intra-image variation • Repeated edge features to measure image resolution • 3 measurements for 3 positions • Used to monitor performance • Quality assurance for digital collections • Mostly used for near-flat objects and documents • Inter-image variation measurement
  • 5. Example use of test targets 5 Arthur M. Sackler and Freer Galleries of Art • Test chart normal to lens axis • Works well for evaluating imaging performance in primary plane through the object camera lens chart holder test chart • What about performance with scene depth ? - Optical depth of field
  • 6. Use of tilted test chart • Tilt target to cover depth of object • Repeated test features now sample scene depth 6 camera lens chart holder test chart Holder courtesy of Image Science Associates • Adjustable chart holder • Maintains object depth as camera angle is adjusted
  • 7. Experiment 7 • Image capture at Cooper Hewitt, Smithsonian Design Museum • Mass digitization effort, Nov. 2014 • Measure image resolution as per standard methods • Test chart • Analysis software • Adapt to sample scene depth • Digital view camera by Picturae BV • Upper part of test chart is tilting way from camera
  • 8. View camera 8 Film or detector plane Lens plane Plane of Sharp focus Lens axis Scheimpflug intersection • Lens is tilted to vary the plane of sharp focus • Used in architectural photography to change camera perspective
  • 9. Fixed-lens results 9 0 5 10 15 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 Frequency, cy/mm SFR 1 2 3 1 2 3
  • 10. Tilted-lens results 10 1 2 3 0 5 10 15 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 Frequency, cy/mm SFR 1 2 3
  • 11. Simplified edge target 11 • Nikon DSLR camera, zoom lens • Simple extended edge for image resolution • Uniform areas to evaluate illumination variation Single edge chart Test image
  • 12. Camera aperture series 12 • Capture series oft test images varying lens aperture setting • Automated evaluation of image depth of focus
  • 14. Illumination profile measurement 14 • Illumination profile based on light uniform chart region • Computed are average pixel row in the region Single edge chart Distance, cm 0 1 2 3 4 5 6 7 8 9 Profile 180 185 190 195 200 205 210 215 220 225 230 • Uniform lighting may not be the goal • Consistency normally is
  • 15. 15 Conclusions 1. Methods and tools for monitoring of imaging performance are well-established for near flat objects 2. We investigated adapting these for 2D, perspective images of 3D objects • Both DSLR and view camera testing was completed • Objective-level test targets • Tilted chart used to sample scene depth • Chart holder with adjustable angle 3. Image resolution • Multiple region selection • Reference analysis (unchanged) was used 4. illumination uniformity evaluated
  • 16. Acknowledgements: 16 Many thanks to Picturae BV team working at the Cooper Hewitt, Smithsonian Design Museum Handmade toy train, UK c. 1958