| 000 | 03730nmm a22003257a 4500 | ||
|---|---|---|---|
| 003 | OSt | ||
| 005 | 20221103093838.0 | ||
| 008 | 221014b |||||||| |||| 00| 0 eng d | ||
| 020 | _a9780191874338 (e-book) | ||
| 040 |
_cCvSU Main Campus Library _erda |
||
| 041 | _aeng | ||
| 050 |
_aBF242 _bF76 2021 |
||
| 245 |
_aForensic face matching : _bresearch and practice / _cedited by Markus Bindemann. |
||
| 260 |
_aNew York, NY : _bOxford University Press, _c2021 |
||
| 300 |
_a1 online resource (xiii, 258, pages) : _bcolor illustrations. |
||
| 336 |
_2rdacontent _atext |
||
| 337 |
_2rdamedia _acomputer |
||
| 338 |
_2rdacarrier _aonline resource |
||
| 500 | _ahttps://www.universitypressscholarship.com/ | ||
| 504 | _aIncludes bibliographical references and index | ||
| 505 | _a1. Person identification at airports during passport control -- 2. Factors limiting face matching at passport control and in police investigations -- 3. Steps towards a cognitive theory of unfamiliar face matching -- 4. Understanding professional expertise in unfamiliar face matching -- 5. Can face identification ability be trained? evidence for two routes to expertise -- 6 Individual differences between observers in face matching -- 7 Forensic face matching : procedures and application -- 8. Forensic face matching : a legal perspective -- 9. Automatic recognition systems and human computer interaction in face matching -- 10. Realistic masks in the real world | ||
| 520 | _aPerson identification at passport control, at borders, in police investigations, and in criminal trials relies critically on the identity verification of people via image-to-image or person-to-image comparison. While this task is known as ‘facial image comparison’ in forensic settings, it has been studied as ‘unfamiliar face matching’ in cognitive science. This book brings together expertise from practitioners, and academics in psychology and law, to draw together what is currently known about these tasks. It explains the problem of identity impostors and how within-person variability and between-person similarity, due to factors such as image quality, lighting direction, and view, affect identification. A framework to develop a cognitive theory of face matching is offered. The face-matching abilities of untrained lay observers, facial reviewers, facial examiners, and super-recognizers are analysed and contrasted. Individual differences between observers, learning and training for face recognition and face matching, and personnel selection are reviewed. The admissibility criteria of evidence from face matching in legal settings are considered, focusing on aspects such as the requirement of relevance, the prohibition on evidence of opinion, and reliability. Key concepts relevant to automatic face recognition algorithms at airports and in police investigations are explained, such as deep convolutional neural networks, biometrics, and human–computer interaction. Finally, new security threats in the form of hyper-realistic mask disguises are considered, including the impact these have on person identification in applied and laboratory settings. | ||
| 541 |
_aFund 164 _bCE-Logic _cPurchased _dFeb 16, 2022 _eOEBP000205 _fP. Roderno _hPHP 8,551.90 _p2022-02-057 _q22-1054 |
||
| 650 | 0 |
_929549 _a Face perception |
|
| 650 | 0 |
_93261 _aForensic psychology |
|
| 700 |
_929548 _aBindemann, Markus _eeditor |
||
| 856 |
_uhttps://doi.org/10.1093/oso/9780198837749.001.0001 _yClick here to read Full-Text E-Book |
||
| 856 |
_uhttps://docs.google.com/forms/d/e/1FAIpQLSfSoAj3qM4b_ttQMZLuimqgwkfHDH1NyJ7S4eyjHD7Vr4j7EQ/viewform _yLog-in to the website is required to read this e-book. Click here to request access. |
||
| 942 |
_2lcc _cOEB |
||
| 999 |
_c61459 _d61459 |
||