2011 International Joint Conference on Biometrics (IJCB)最新文献_第6页

Contourlet appearance model for facial age estimation 面部年龄估计的轮廓波外观模型

2011 International Joint Conference on Biometrics (IJCB) Pub Date : 2011-10-11 DOI: 10.1109/IJCB.2011.6117601

Khoa Luu, Keshav Seshadri, M. Savvides, T. D. Bui, C. Suen

引用次数: 81

NFRAD: Near-Infrared Face Recognition at a Distance NFRAD:远距离近红外人脸识别

2011 International Joint Conference on Biometrics (IJCB) Pub Date : 2011-10-11 DOI: 10.1109/IJCB.2011.6117486

Hyun-ju Maeng, Hyun-Cheol Choi, U. Park, Seong-Whan Lee, Anil K. Jain

{"title":"NFRAD: Near-Infrared Face Recognition at a Distance","authors":"Hyun-ju Maeng, Hyun-Cheol Choi, U. Park, Seong-Whan Lee, Anil K. Jain","doi":"10.1109/IJCB.2011.6117486","DOIUrl":"https://doi.org/10.1109/IJCB.2011.6117486","url":null,"abstract":"Face recognition at a distance is gaining wide attention in order to augment the surveillance systems with face recognition capability. However, face recognition at a distance in nighttime has not yet received adequate attention considering the increased security threats at nighttime. We introduce a new face image database, called Near-Infrared Face Recognition at a Distance Database (NFRAD-DB). Images in NFRAD-DB are collected at a distance of up to 60 meters with 50 different subjects using a near-infrared camera, a telescope, and near-infrared illuminator. We provide face recognition performance using FaceVACS, DoG-SIFT, and DoG-MLBP representations. The face recognition test consisted of NIR images of these 50 subjects at 60 meters as probe and visible images at 1 meter with additional mug shot images of 10,000 subjects as gallery. Rank-1 identification accuracy of 28 percent was achieved from the proposed method compared to 18 percent rank-1 accuracy of a state of the art face recognition system, FaceVACS. These recognition results are encouraging given this challenging matching problem due to the illumination pattern and insufficient brightness in NFRAD images.","PeriodicalId":103913,"journal":{"name":"2011 International Joint Conference on Biometrics (IJCB)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124582993","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}

引用次数: 42

Person-specific face representation for recognition 用于识别的个人特定面部表征

2011 International Joint Conference on Biometrics (IJCB) Pub Date : 2011-10-11 DOI: 10.1109/IJCB.2011.6117478

G. Chiachia, A. Falcão, A. Rocha

引用次数: 3

Towards incremental and large scale face recognition 面向增量、大规模人脸识别

2011 International Joint Conference on Biometrics (IJCB) Pub Date : 2011-10-11 DOI: 10.1109/IJCB.2011.6117583

Junjie Yan, Zhen Lei, Dong Yi, S. Li

引用次数: 14

Palmprint indexing based on ridge features 基于脊状特征的掌纹索引

2011 International Joint Conference on Biometrics (IJCB) Pub Date : 2011-10-11 DOI: 10.1109/IJCB.2011.6117505

X. Yang, Jianjiang Feng, Jie Zhou

引用次数: 13

Face verification using large feature sets and one shot similarity 基于大特征集和单镜头相似度的人脸验证

2011 International Joint Conference on Biometrics (IJCB) Pub Date : 2011-10-11 DOI: 10.1109/IJCB.2011.6117498

Huimin Guo, W. R. Schwartz, L. Davis

引用次数: 19

Fusion of multiple clues for photo-attack detection in face recognition systems 人脸识别系统中多线索融合的光攻击检测

2011 International Joint Conference on Biometrics (IJCB) Pub Date : 2011-10-11 DOI: 10.1109/IJCB.2011.6117522

Roberto Tronci, Daniele Muntoni, Gianluca Fadda, Maurizio Pili, Nicola Sirena, G. Murgia, Marco Ristori, Sardegna Ricerche, F. Roli

引用次数: 82

On the evidential value of fingerprints 论指纹的证据价值

2011 International Joint Conference on Biometrics (IJCB) Pub Date : 2011-10-11 DOI: 10.1109/IJCB.2011.6117550

Hee-seung Choi, Abhishek Nagar, Anil K. Jain

{"title":"On the evidential value of fingerprints","authors":"Hee-seung Choi, Abhishek Nagar, Anil K. Jain","doi":"10.1109/IJCB.2011.6117550","DOIUrl":"https://doi.org/10.1109/IJCB.2011.6117550","url":null,"abstract":"Fingerprint evidence is routinely used by forensics and law enforcement agencies worldwide to apprehend and convict criminals, a practice in use for over 100 years. The use of fingerprints has been accepted as an infallible proof of identity based on two premises: (i) permanence or persistence, and (ii) uniqueness or individuality. However, in the absence of any theoretical results that establish the uniqueness or individuality of fingerprints, the use of fingerprints in various court proceedings is being questioned. This has raised awareness in the forensics community about the need to quantify the evidential value of fingerprint matching. A few studies that have studied this problem estimate this evidential value in one of two ways: (i) feature modeling, where a statistical (generative) model for fingerprint features, primarily minutiae, is developed which is then used to estimate the matching error and (ii) match score modeling, where a set of match scores obtained over a database is used to estimate the matching error rates. Our focus here is on match score modeling and we develop metrics to evaluate the effectiveness and reliability of the proposed evidential measure. Compared to previous approaches, the proposed measure allows explicit utilization of prior odds. Further, we also incorporate fingerprint image quality to improve the reliability of the estimated evidential value.","PeriodicalId":103913,"journal":{"name":"2011 International Joint Conference on Biometrics (IJCB)","volume":"205 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126033705","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}

引用次数: 27

Palm vein recognition with Local Binary Patterns and Local Derivative Patterns 基于局部二值模式和局部导数模式的手掌静脉识别

2011 International Joint Conference on Biometrics (IJCB) Pub Date : 2011-10-11 DOI: 10.1109/IJCB.2011.6117804

Leila Mirmohamadsadeghi, A. Drygajlo

引用次数: 97

Generic 3D face pose estimation using facial shapes 使用面部形状的通用3D面部姿态估计

2011 International Joint Conference on Biometrics (IJCB) Pub Date : 2011-10-11 DOI: 10.1109/IJCB.2011.6117472

J. Heo, M. Savvides

{"title":"Generic 3D face pose estimation using facial shapes","authors":"J. Heo, M. Savvides","doi":"10.1109/IJCB.2011.6117472","DOIUrl":"https://doi.org/10.1109/IJCB.2011.6117472","url":null,"abstract":"Generic 3D face pose estimation from a single 2D facial image is an extremely crucial requirement for face-related research areas. To meet with the remaining challenges for face pose estimation, suggested Murphy-Chutorian et al. [13], we believe that the first step is to create a large corpus of a 3D facial shape database in which the statistical relationship between projected 2D shapes and corresponding pose parameters can be easily observed. Because facial geometry provides the most essential information for facial pose, understanding the effect of pose parameters in 2D facial shapes is a key step toward solving the remaining challenges. In this paper, we present necessary tasks to reconstruct 3D facial shapes from multiple 2D images and then explain how to generate 2D projected shapes at any rotation interval. To deal with self occlusions, a novel hidden points removal (HPR) algorithm is also proposed. By flexibly changing the number of points in 2D shapes, we evaluate the performance of two different approaches for achieving generic 3D pose estimation in both coarse and fine levels and analyze the importance of facial shapes toward generic 3D pose estimation.","PeriodicalId":103913,"journal":{"name":"2011 International Joint Conference on Biometrics (IJCB)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126849297","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}

引用次数: 6