Pub Date : 2013-04-04DOI: 10.1109/IWBF.2013.6547306
Pedro Tome, Luis Blazquez, R. Vera-Rodríguez, Julian Fierrez, J. Ortega-Garcia, N. Exposito, P. Leston
This paper focuses on automatic facial regions extraction for forensic applications. Forensic examiners compare different facial areas of face images obtained from both uncontrolled and controlled environments taken from the suspect. In this work, we study and compare the discriminative capabilities of 15 facial regions considered in forensic practice such as full face, nose, eye, eyebrow, mouth, etc. This study is useful because it can statistically support the current practice of forensic facial comparison. It is also of interest to biometrics because a more robust general-purpose face recognition system can be built by fusing the similarity scores obtained from the comparison of different individual parts of the face. To analyse the discrimination power of each facial region, we have randomly defined three population subsets of 200 European subjects (male, female and mixed) from MORPH database. First facial landmarks are automatically located, checked and corrected and then 15 forensic facial regions are extracted and considered for the study. In all cases, the performance of the full face (faceISOV region) is higher than the one achieved for the rest of facial regions. It is very interesting to note that the nose region has a very significant discrimination efficiency by itself and similar to the full face performance.
{"title":"Understanding the discrimination power of facial regions in forensic casework","authors":"Pedro Tome, Luis Blazquez, R. Vera-Rodríguez, Julian Fierrez, J. Ortega-Garcia, N. Exposito, P. Leston","doi":"10.1109/IWBF.2013.6547306","DOIUrl":"https://doi.org/10.1109/IWBF.2013.6547306","url":null,"abstract":"This paper focuses on automatic facial regions extraction for forensic applications. Forensic examiners compare different facial areas of face images obtained from both uncontrolled and controlled environments taken from the suspect. In this work, we study and compare the discriminative capabilities of 15 facial regions considered in forensic practice such as full face, nose, eye, eyebrow, mouth, etc. This study is useful because it can statistically support the current practice of forensic facial comparison. It is also of interest to biometrics because a more robust general-purpose face recognition system can be built by fusing the similarity scores obtained from the comparison of different individual parts of the face. To analyse the discrimination power of each facial region, we have randomly defined three population subsets of 200 European subjects (male, female and mixed) from MORPH database. First facial landmarks are automatically located, checked and corrected and then 15 forensic facial regions are extracted and considered for the study. In all cases, the performance of the full face (faceISOV region) is higher than the one achieved for the rest of facial regions. It is very interesting to note that the nose region has a very significant discrimination efficiency by itself and similar to the full face performance.","PeriodicalId":412596,"journal":{"name":"2013 International Workshop on Biometrics and Forensics (IWBF)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125629702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-04-01DOI: 10.1109/IWBF.2013.6547304
R. Vera-Rodríguez, Pedro Tome, Julian Fierrez, N. Exposito, Francisco Javier Vega
This paper reports an study of the variability of facial landmarks in a forensic scenario. This variability is affected by two factors: on the one hand, the precision in which the landmarks are tagged (manually or automatically), and on the other hand some other variability factors such as the pose, expression, occlusions, etc. For this study, a mugshot database of 50 persons has been collected following the procedure used by the Spanish Guardia Civil. Mugshots are taken with three distances between the persons and the camera (3, 2, 1 meters) showing the full body, the upper body and the face respectively, obtaining in total 1200 images. 21 facial landmarks are defined and the database was manually tagged imitating the procedure followed by a forensic examiner. This paper analyses the facial landmarking variability for the three distances considered, and also considering the differences obtained for male and female. Results show that landmarks located in the outer part of the face (highest end of the head, ears and chin) present a higher level of variability compared to the landmarks located the inner face (eye region, and nose). Regarding the gender, the landmarks placed in the outer part of the face present a higher level of variability for women compared to men.
{"title":"Analysis of the variability of facial landmarks in a forensic scenario","authors":"R. Vera-Rodríguez, Pedro Tome, Julian Fierrez, N. Exposito, Francisco Javier Vega","doi":"10.1109/IWBF.2013.6547304","DOIUrl":"https://doi.org/10.1109/IWBF.2013.6547304","url":null,"abstract":"This paper reports an study of the variability of facial landmarks in a forensic scenario. This variability is affected by two factors: on the one hand, the precision in which the landmarks are tagged (manually or automatically), and on the other hand some other variability factors such as the pose, expression, occlusions, etc. For this study, a mugshot database of 50 persons has been collected following the procedure used by the Spanish Guardia Civil. Mugshots are taken with three distances between the persons and the camera (3, 2, 1 meters) showing the full body, the upper body and the face respectively, obtaining in total 1200 images. 21 facial landmarks are defined and the database was manually tagged imitating the procedure followed by a forensic examiner. This paper analyses the facial landmarking variability for the three distances considered, and also considering the differences obtained for male and female. Results show that landmarks located in the outer part of the face (highest end of the head, ears and chin) present a higher level of variability compared to the landmarks located the inner face (eye region, and nose). Regarding the gender, the landmarks placed in the outer part of the face present a higher level of variability for women compared to men.","PeriodicalId":412596,"journal":{"name":"2013 International Workshop on Biometrics and Forensics (IWBF)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125615816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-04-01DOI: 10.1109/IWBF.2013.6547322
Andreas Møgelmose, T. Moeslund, Kamal Nasrollahi
This paper describes a system for person re-identification using RGB-D sensors. The system covers the full flow, from detection of subjects, over contour extraction, to re-identification using soft biometrics. The biometrics in question are part-based color histograms and the subjects height. Subjects are added to a transient database and re-identified based on the distance between recorded biometrics and the currently measured metrics. The system works on live video and requires no collaboration from the subjects. The system achieves a 68% re-identification rate with no wrong re-identifications, a result that compares favorable with commercial systems as well as other very recent multimodal re-identification systems.
{"title":"Multimodal person re-identification using RGB-D sensors and a transient identification database","authors":"Andreas Møgelmose, T. Moeslund, Kamal Nasrollahi","doi":"10.1109/IWBF.2013.6547322","DOIUrl":"https://doi.org/10.1109/IWBF.2013.6547322","url":null,"abstract":"This paper describes a system for person re-identification using RGB-D sensors. The system covers the full flow, from detection of subjects, over contour extraction, to re-identification using soft biometrics. The biometrics in question are part-based color histograms and the subjects height. Subjects are added to a transient database and re-identified based on the distance between recorded biometrics and the currently measured metrics. The system works on live video and requires no collaboration from the subjects. The system achieves a 68% re-identification rate with no wrong re-identifications, a result that compares favorable with commercial systems as well as other very recent multimodal re-identification systems.","PeriodicalId":412596,"journal":{"name":"2013 International Workshop on Biometrics and Forensics (IWBF)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132824985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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