2011 International Joint Conference on Biometrics (IJCB)最新文献

Face and eye detection on hard datasets 硬数据集上的人脸和眼睛检测

2011 International Joint Conference on Biometrics (IJCB) Pub Date : 2011-10-11 DOI: 10.1109/IJCB.2011.6117593

Jonathan Parris, Michael J. Wilber, B. Heflin, H. Rara, Ahmed El-Barkouky, A. Farag, J. Movellan, anonymous, M. C. Santana, J. Lorenzo-Navarro, Mohammad Nayeem Teli, S. Marcel, Cosmin Atanasoaei, T. Boult

引用次数: 33

Long range iris acquisition system for stationary and mobile subjects 用于固定和移动对象的远程虹膜采集系统

2011 International Joint Conference on Biometrics (IJCB) Pub Date : 2011-10-11 DOI: 10.1109/IJCB.2011.6117484

Shreyas Venugopalan, U. Prasad, Khalid Harun, Kyle Neblett, D. Toomey, Joseph Heyman, M. Savvides

{"title":"Long range iris acquisition system for stationary and mobile subjects","authors":"Shreyas Venugopalan, U. Prasad, Khalid Harun, Kyle Neblett, D. Toomey, Joseph Heyman, M. Savvides","doi":"10.1109/IJCB.2011.6117484","DOIUrl":"https://doi.org/10.1109/IJCB.2011.6117484","url":null,"abstract":"Most iris based biometric systems require a lot of cooperation from the users so that iris images of acceptable quality may be acquired. Features from these may then be used for recognition purposes. Relatively fewer works in literature address the question of less cooperative iris acquisition systems in order to reduce constraints on users. In this paper, we describe our ongoing work in designing and developing such a system. It is capable of capturing images of the iris up to distances of 8 meters with a resolution of 200 pixels across the diameter. If the resolution requirement is decreased to 150 pixels, then the same system may be used to capture images from up to 12 meters. We have incorporated velocity estimation and focus tracking modules so that images may be acquired from subjects on the move as well. We describe the various components that make up the system, including the lenses used, the imaging sensor, our auto-focus function and velocity estimation module. All the hardware components are Commercial Off The Shelf (COTS) with little or no modifications. We also present preliminary iris acquisition results using our system for both stationary and mobile subjects.","PeriodicalId":103913,"journal":{"name":"2011 International Joint Conference on Biometrics (IJCB)","volume":"13 6 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":"115386719","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: 32

3D face sketch modeling and assessment for component based face recognition 基于组件的人脸识别的三维人脸草图建模与评估

2011 International Joint Conference on Biometrics (IJCB) Pub Date : 2011-10-11 DOI: 10.1109/IJCB.2011.6117501

Shaun J. Canavan, Xing Zhang, L. Yin, Yong Zhang

引用次数: 2

Robust head pose estimation via semi-supervised manifold learning with ℓ1-graph regularization 基于1-图正则化的半监督流形学习鲁棒头姿估计

2011 International Joint Conference on Biometrics (IJCB) Pub Date : 2011-10-11 DOI: 10.1109/IJCB.2011.6117529

Hao Ji, Fei Su, Yujia Zhu

引用次数: 4

Fusing with context: A Bayesian approach to combining descriptive attributes 与上下文融合:结合描述性属性的贝叶斯方法

2011 International Joint Conference on Biometrics (IJCB) Pub Date : 2011-10-11 DOI: 10.1109/IJCB.2011.6117490

W. Scheirer, Neeraj Kumar, K. Ricanek, P. Belhumeur, T. Boult

{"title":"Fusing with context: A Bayesian approach to combining descriptive attributes","authors":"W. Scheirer, Neeraj Kumar, K. Ricanek, P. Belhumeur, T. Boult","doi":"10.1109/IJCB.2011.6117490","DOIUrl":"https://doi.org/10.1109/IJCB.2011.6117490","url":null,"abstract":"For identity related problems, descriptive attributes can take the form of any information that helps represent an individual, including age data, describable visual attributes, and contextual data. With a rich set of descriptive attributes, it is possible to enhance the base matching accuracy of a traditional face identification system through intelligent score weighting. If we can factor any attribute differences between people into our match score calculation, we can deemphasize incorrect results, and ideally lift the correct matching record to a higher rank position. Naturally, the presence of all descriptive attributes during a match instance cannot be expected, especially when considering non-biometric context. Thus, in this paper, we examine the application of Bayesian Attribute Networks to combine descriptive attributes and produce accurate weighting factors to apply to match scores from face recognition systems based on incomplete observations made at match time. We also examine the pragmatic concerns of attribute network creation, and introduce a Noisy-OR formulation for streamlined truth value assignment and more accurate weighting. Experimental results show that incorporating descriptive attributes into the matching process significantly enhances face identification over the baseline by up to 32.8%.","PeriodicalId":103913,"journal":{"name":"2011 International Joint Conference on Biometrics (IJCB)","volume":"25 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":"124990420","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: 53

Fusion of directional transitional features for off-line signature verification 面向离线签名验证的方向过渡特征融合

2011 International Joint Conference on Biometrics (IJCB) Pub Date : 2011-10-11 DOI: 10.1109/IJCB.2011.6117515

Konstantinos Tselios, E. Zois, A. Nassiopoulos, G. Economou

引用次数: 8

Cross-spectral face recognition in heterogeneous environments: A case study on matching visible to short-wave infrared imagery 异质环境下的交叉光谱人脸识别:可见光与短波红外图像匹配的案例研究

2011 International Joint Conference on Biometrics (IJCB) Pub Date : 2011-10-11 DOI: 10.1109/IJCB.2011.6117586

N. Kalka, T. Bourlai, B. Cukic, L. Hornak

{"title":"Cross-spectral face recognition in heterogeneous environments: A case study on matching visible to short-wave infrared imagery","authors":"N. Kalka, T. Bourlai, B. Cukic, L. Hornak","doi":"10.1109/IJCB.2011.6117586","DOIUrl":"https://doi.org/10.1109/IJCB.2011.6117586","url":null,"abstract":"In this paper we study the problem of cross spectral face recognition in heterogeneous environments. Specifically we investigate the advantages and limitations of matching short wave infrared (SWIR) face images to visible images under controlled or uncontrolled conditions. The contributions of this work are three-fold. First, three different databases are considered, which represent three different data collection conditions, i.e., images acquired in fully controlled (indoors), semi-controlled (indoors at standoff distances ≥ 50m), and uncontrolled (outdoor operational conditions) environments. Second, we demonstrate the possibility of SWIR cross-spectral matching under controlled and challenging scenarios. Third, we illustrate how photometric normalization and our proposed cross-photometric score level fusion rule can be utilized to improve cross-spectral matching performance across all scenarios. We utilized both commercial and academic (texture-based) face matchers and performed a set of experiments indicating that SWIR images can be matched to visible images with encouraging results. Our experiments also indicate that the level of improvement in recognition performance is scenario dependent.","PeriodicalId":103913,"journal":{"name":"2011 International Joint Conference on Biometrics (IJCB)","volume":"14 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":"122578136","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: 56

Face synthesis from near-infrared to visual light via sparse representation 通过稀疏表示从近红外到可见光的人脸合成

2011 International Joint Conference on Biometrics (IJCB) Pub Date : 2011-10-11 DOI: 10.1109/IJCB.2011.6117534

Zeda Zhang, Yunhong Wang, Zhaoxiang Zhang

引用次数: 23

Counter-measures to photo attacks in face recognition: A public database and a baseline 人脸识别中的照片攻击对策:公共数据库和基线

2011 International Joint Conference on Biometrics (IJCB) Pub Date : 2011-10-11 DOI: 10.1109/IJCB.2011.6117503

André Anjos, S. Marcel

引用次数: 342

An adaptive resolution voxelization framework for 3D ear recognition 三维人耳识别的自适应分辨率体素化框架

2011 International Joint Conference on Biometrics (IJCB) Pub Date : 2011-10-11 DOI: 10.1109/IJCB.2011.6117598

S. Cadavid, Sherin Fathy, Jindan Zhou, M. Abdel-Mottaleb

引用次数: 8