2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems最新文献

Pose manifold curvature is typically less near frontal face views 姿态流形曲率通常较少接近正面视图

2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems Pub Date : 2009-09-28 DOI: 10.1109/BTAS.2009.5339070

Mohammad Nayeem Teli, J. Beveridge

引用次数: 3

Learning-based image representation and method for face recognition 基于学习的图像表示与人脸识别方法

2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems Pub Date : 2009-09-28 DOI: 10.1109/BTAS.2009.5339012

Zhiming Liu, Chengjun Liu, Qingchuan Tao

引用次数: 2

A biometric database with rotating head videos and hand-drawn face sketches 有旋转头部视频和手绘面部草图的生物识别数据库

2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems Pub Date : 2009-09-28 DOI: 10.1109/BTAS.2009.5339043

Hanan A. Al Nizami, Jeremy P. Adkins-Hill, Yong Zhang, J. Sullins, Christine McCullough, Shaun J. Canavan, L. Yin

{"title":"A biometric database with rotating head videos and hand-drawn face sketches","authors":"Hanan A. Al Nizami, Jeremy P. Adkins-Hill, Yong Zhang, J. Sullins, Christine McCullough, Shaun J. Canavan, L. Yin","doi":"10.1109/BTAS.2009.5339043","DOIUrl":"https://doi.org/10.1109/BTAS.2009.5339043","url":null,"abstract":"The past decade has witnessed a significant progress in biometric technologies, to a large degree, due to the availability of a wide variety of public databases that enable benchmark performance evaluations. In this paper, we describe a new database that includes: (i) Rotating head videos of 259 subjects; (ii) 250 hand-drawn face sketches of 50 subjects. Rotating head videos were acquired under both normal indoor lighting and shadow conditions. Each video captured four expressions: neutral, smile, surprise, and anger. For each subject, video frames of ten pose angles were manually labeled using reference images and empirical rules, to facilitate the investigation of multi-frame fusion. The database can also be used to study 3D face recognition by reconstructing a 3D face model from videos. In addition, this is the only currently available database that has a large number of face sketches drawn by multiple artists. The face sketches are valuable resource for many researches, such as forensic analysis of eyewitness recollection, impact assessment of face degradation on recognition rate, as well as comparative evaluation of sketch recognitions by humans and algorithms.","PeriodicalId":325900,"journal":{"name":"2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116602479","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: 15

Robust modified Active Shape Model for automatic facial landmark annotation of frontal faces 基于鲁棒改进主动形状模型的正面人脸特征自动标注

2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems Pub Date : 2009-09-28 DOI: 10.1109/BTAS.2009.5339057

Keshav Seshadri, M. Savvides

{"title":"Robust modified Active Shape Model for automatic facial landmark annotation of frontal faces","authors":"Keshav Seshadri, M. Savvides","doi":"10.1109/BTAS.2009.5339057","DOIUrl":"https://doi.org/10.1109/BTAS.2009.5339057","url":null,"abstract":"In this paper we present an improved method for locating facial landmarks in images containing frontal faces using a modified Active Shape Model. Our main contributions include the use of an optimal number of facial landmark points, better profiling methods during the fitting stage and the development of a more suitable optimization metric to determine the best location of the landmarks compared to the simplistic minimum Mahalanobis distance criteria used to date. We build a subspace to model variations of appearance around each facial landmark and use this subspace to enhance the accuracy of the fitting process around each landmark. This enhancement provides a significant improvement in fitting and simultaneously determines which points were poorly fitted using reconstruction error, thus allowing for automatic correction or interpolation of any poorly fitted points. Our implementation, with the above mentioned improvements, leads to extremely accurate results even when dealing with faces with expressions, slight pose variations and in-plane rotations. Experiments conducted on test sets drawn from three databases (NIST Multiple Biometric Grand Challenge-2008 (MBGC-2008), CMU Multi-PIE and the Japanese Female Facial Expression (JAFFE) database) show that our proposed approach leads to far better performance compared to the classical Active Shape Model of Cootes et al. and other traditional methods and provides a robust automatic facial landmark annotation which is the first critical step in face registration, pose correction and face recognition.","PeriodicalId":325900,"journal":{"name":"2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117094099","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: 71

Simultaneous latent fingerprint recognition: A preliminary study 同时潜指纹识别的初步研究

2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems Pub Date : 2009-09-28 DOI: 10.1109/BTAS.2009.5339079

Mayank Vatsa, Richa Singh, A. Noore, Keith B. Morris

{"title":"Simultaneous latent fingerprint recognition: A preliminary study","authors":"Mayank Vatsa, Richa Singh, A. Noore, Keith B. Morris","doi":"10.1109/BTAS.2009.5339079","DOIUrl":"https://doi.org/10.1109/BTAS.2009.5339079","url":null,"abstract":"Recent cases such as Commonwealth v Patterson show that there is a lack of research in how to process and recognize simultaneous fingerprint impressions, especially when none of the latent prints in the cluster could be individually matched. SWGFAST released the first version of the standard on simultaneous impression examination that can help fingerprint examiners to systematically compare latent simultaneous impressions to a known ten-print card. However, when the individual is not known, the simultaneous fingerprint impressions have to be compared using a large database of reference ten-prints, making the process very challenging. This paper introduces the research problem of identifying simultaneous latent fingerprint impressions to the community and presents a semi-automatic approach to process the impressions of any individual. The approach generates a list of top matches and latent fingerprint examiners can then examine them for individualization. Using a fingerprint database that contains simultaneous latent impressions, we analyze the performance of the proposed approach obtained by matching simultaneous impressions with the gallery database.","PeriodicalId":325900,"journal":{"name":"2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128294282","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

Generalized multi-ethnic face age-estimation 广义多民族面部年龄估计

2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems Pub Date : 2009-09-28 DOI: 10.1109/BTAS.2009.5339082

K. Ricanek, Yishi Wang, Cuixian Chen, S. J. Simmons

引用次数: 43

Comparing verification performance of kids and adults for Fingerprint, Palmprint, Hand-geometry and Digitprint biometrics 比较儿童和成人对指纹、掌纹、手纹和数字指纹的验证性能

2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems Pub Date : 2009-09-28 DOI: 10.1109/BTAS.2009.5339069

A. Uhl, Peter Wild

引用次数: 30

Partial matching of interpose 3D facial data for face recognition 用于人脸识别的插入式三维人脸数据部分匹配

2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems Pub Date : 2009-09-28 DOI: 10.1109/BTAS.2009.5339019

P. Perakis, G. Passalis, T. Theoharis, G. Toderici, I. Kakadiaris

{"title":"Partial matching of interpose 3D facial data for face recognition","authors":"P. Perakis, G. Passalis, T. Theoharis, G. Toderici, I. Kakadiaris","doi":"10.1109/BTAS.2009.5339019","DOIUrl":"https://doi.org/10.1109/BTAS.2009.5339019","url":null,"abstract":"Three-dimensional face recognition has lately received much attention due to its robustness in the presence of lighting and pose variations. However, certain pose variations often result in missing facial data. This is common in realistic scenarios, such as uncontrolled environments and uncooperative subjects. Most previous 3D face recognition methods do not handle extensive missing data as they rely on frontal scans. Currently, there is no method to perform recognition across scans of different poses. A unified method that addresses the partial matching problem is proposed. Both frontal and side (left or right) facial scans are handled in a way that allows interpose retrieval operations. The main contributions of this paper include a novel 3D landmark detector and a deformable model framework that supports symmetric fitting. The landmark detector is utilized to detect the pose of the facial scan. This information is used to mark areas of missing data and to roughly register the facial scan with an Annotated Face Model (AFM). The AFM is fitted using a deformable model framework that introduces the method of exploiting facial symmetry where data are missing. Subsequently, a geometry image is extracted from the fitted AFM that is independent of the original pose of the facial scan. Retrieval operations, such as face identification, are then performed on a wavelet domain representation of the geometry image. Thorough testing was performed by combining the largest publicly available databases. To the best of our knowledge, this is the first method that handles side scans with extensive missing data (e.g., up to half of the face missing).","PeriodicalId":325900,"journal":{"name":"2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132146279","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: 38

Agent-based image iris segmentation and multiple views boundary refining 基于agent的图像虹膜分割与多视图边界细化

2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems Pub Date : 2009-09-28 DOI: 10.1109/BTAS.2009.5339077

R. D. Labati, V. Piuri, F. Scotti

{"title":"Agent-based image iris segmentation and multiple views boundary refining","authors":"R. D. Labati, V. Piuri, F. Scotti","doi":"10.1109/BTAS.2009.5339077","DOIUrl":"https://doi.org/10.1109/BTAS.2009.5339077","url":null,"abstract":"The paper presents two different methods to deal with the problem of iris segmentation: an agent-based method capable to localize the center of the pupil and a method to process the iris boundaries by a multiple views approach. In the first method, an agent corresponds to the coordinates of a specific point of analysis in the input image. A population of agents is deployed in the input image, then, each agent collects local information concerning the intensity patterns visible in its region of interest. By iterations, an agent changes its position accordingly to the local properties, moving towards the estimation of the pupil center. If no available information is present in its region of interest, the agent will move itself along a random walk. After few iterations, the population tends to spread and then concentrate in the inner portion of the pupil. Once the center of the pupil has been located, the inner and outer iris boundaries are refined by an approach based on multiple views analysis. This method starts with a set of points that can be considered as an approximation of the pupil center. For each point, a detailed estimation of the iris boundaries is computed, and the final description of the iris boundaries is obtained by merging all the obtained descriptions. The two methods were tested using CASIA v.3 and UBIRIS v.2 images. Experiments show that the proposed approaches are feasible, also in eye images taken in noisy or non-ideal conditions, achieving a total error segmentation accuracy up to 97%.","PeriodicalId":325900,"journal":{"name":"2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128677154","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: 35

A novel matching algorithm for distorted fingerprints based on penalized quadratic model 一种基于惩罚二次模型的扭曲指纹匹配新算法

2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems Pub Date : 2009-09-28 DOI: 10.1109/BTAS.2009.5339018

Kai Cao, Xin Yang, Xunqiang Tao, Yangyang Zhang, Jie Tian

{"title":"A novel matching algorithm for distorted fingerprints based on penalized quadratic model","authors":"Kai Cao, Xin Yang, Xunqiang Tao, Yangyang Zhang, Jie Tian","doi":"10.1109/BTAS.2009.5339018","DOIUrl":"https://doi.org/10.1109/BTAS.2009.5339018","url":null,"abstract":"At present, one of the most challenging problems in fingerprint recognition is the matching of distorted fingerprints. In this paper, we propose penalized quadratic model to deal with the non-linear distortion. Firstly, minutiae as well as sampling points on all the ridges are employed to represent fingerprint. Secondly, similarity between minutiae is estimated by their neighboring sampling points. Thirdly, greedy matching algorithm is adopted to establish the initial minutiae correspondences which are used to select landmarks to calculate the quadratic model parameters. At last, input fingerprint is warped and matching process is conducted again to obtain similarity score between warped fingerprint and template fingerprint. In order to diminish the impact of the erroneous landmarks, we introduce a penalty term into the quadratic model to keep it smoothing. Experimental results on FVC2004 DB1 approve that quadratic model is effective to describe the inner-image transformation of a quadratic skin surface, and the proposed strategy can improve the performance of fingerprint matching algorithm.","PeriodicalId":325900,"journal":{"name":"2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129089006","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: 4