Abstract
In this paper we study the measurability and variability of manually annotated characteristic descriptors on a forensic relevant face dataset. Characteristic descriptors are facial features (landmarks, shapes, etc.) that can be used during forensic case work. With respect to measurability, we observe that a significant proportion cannot be determined in images representative of forensic case work. Landmarks, closed and open shapes, and other forensic facial features show mostly that the variability depends on the image quality. Up to 50% of all considered evidential values are either positively or negatively influenced by annotator variability. However, when considering images with the lowest quality, we found that more than 70% of the evidential value intervals in principle could yield the wrong conclusion.
Original language | English |
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Title of host publication | 2017 5th International Workshop on Biometrics and Forensics (IWBF 2017) |
Publisher | IEEE |
ISBN (Electronic) | 9781509057917 |
ISBN (Print) | 9781509057924 |
DOIs | |
Publication status | Published - 26 May 2017 |
Event | 5th International Workshop on Biometrics and Forensics, IWBF 2017 - Coventry, United Kingdom Duration: 4 Apr 2017 → 5 Apr 2017 Conference number: 5 https://warwick.ac.uk/fac/sci/dcs/people/chang-tsun_li/iwbf2017/ |
Conference
Conference | 5th International Workshop on Biometrics and Forensics, IWBF 2017 |
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Abbreviated title | IWBF 2017 |
Country/Territory | United Kingdom |
City | Coventry |
Period | 4/04/17 → 5/04/17 |
Internet address |
Keywords
- FISWG
- Forensic facial features
- Manual annotation
- Measurability
- Variability