Human Male Body Images from Multiple Perspectives with Multiple Lighting Settings
Abstract
:1. Summary
- Facilitates the testing of human body identification and verification algorithms and the comparison of performance between such algorithms.
- Provides data to analyze algorithm performance under different lighting brightness conditions and temperatures, in addition to subject perspective.
- Includes images from all perspectives under all experimental lighting conditions, allowing training under one lighting condition and testing under another.
- Was collected in a controlled environment with a white backdrop.
- Is of subjects that are all male and of similar ages; many have a similar build. This facilitates testing of the algorithm’s ability to identify individuals from other similar individuals
2. Data Description
3. Methods
3.1. Equipment
3.2. Setup
3.3. Experimental Procedures
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Item | Position (x, y) in Inches | Position (x, y) in Meters |
---|---|---|
Backdrop stands | 10, 48 and 10, 122 | 0.25, 1.22 and 0.25, 3.09 |
Lower left light | 30, 41 | 0.76, 1.0 |
Upper left light | 30, 33 | 0.76, 0.84 |
Lower right light | 27, 132 | 0.69, 3.35 |
Upper right light | 30, 141 | 0.76, 3.58 |
Camera | 109, 87 | 2.77, 2.21 |
Subject light | 103, 75 | 2.62, 1.91 |
Lower subject light | 88, 87 | 2.24, 2.21 |
Lighting Configuration: Temperature, Brightness | Lumen Production |
---|---|
5600 K, 100% | 620 |
3300 K, 100% | 545 |
4400 K, 25% | 326 |
4400 K, 60% | 570 |
4400 K, 100% | 865 |
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Clemons, W.; Straub, J. Human Male Body Images from Multiple Perspectives with Multiple Lighting Settings. Data 2019, 4, 3. https://doi.org/10.3390/data4010003
Clemons W, Straub J. Human Male Body Images from Multiple Perspectives with Multiple Lighting Settings. Data. 2019; 4(1):3. https://doi.org/10.3390/data4010003
Chicago/Turabian StyleClemons, William, and Jeremy Straub. 2019. "Human Male Body Images from Multiple Perspectives with Multiple Lighting Settings" Data 4, no. 1: 3. https://doi.org/10.3390/data4010003