Download or read book Human Identification Based on Three Dimensional Ear and Face Models written by Steven Cadavid and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: We propose three biometric systems for performing 1) Multi-modal Three-Dimensional (3D) ear + Two-Dimensional (2D) face recognition, 2) 3D face recognition, and 3) hybrid 3D ear recognition combining local and holistic features. For the 3D ear component of the multi-modal system, uncalibrated video sequences are utilized to recover the 3D ear structure of each subject within a database. For a given subject, a series of frames is extracted from a video sequence and the Region-of-Interest (ROI) in each frame is independently reconstructed in 3D using Shape from Shading (SFS). A fidelity measure is then employed to determine the model that most accurately represents the 3D structure of the subject's ear. Shape matching between a probe and gallery ear model is performed using the Iterative Closest Point (ICP) algorithm. For the 2D face component, a set of facial landmarks is extracted from frontal facial images using the Active Shape Model (ASM) technique. Then, the responses of the facial images to a series of Gabor filters at the locations of the facial landmarks are calculated. The Gabor features are stored in the database as the face model for recognition. Match-score level fusion is employed to combine the match scores obtained from both the ear and face modalities. The aim of the proposed system is to demonstrate the superior performance that can be achieved by combining the 3D ear and 2D face modalities over either modality employed independently. For the 3D face recognition system, we employ an Adaboost algorithm to builda classifier based on geodesic distance features. Firstly, a generic face model is finely conformed to each face model contained within a 3D face dataset. Secondly, the geodesic distance between anatomical point pairs are computed across each conformed generic model using the Fast Marching Method. The Adaboost algorithm then generates a strong classifier based on a collection of geodesic distances that are most discriminative for face recognition. The identification and verification performances of three Adaboost algorithms, namely, the original Adaboost algorithm proposed by Freund and Schapire, and two variants -- the Gentle and Modest Adaboost algorithms -- are compared. For the hybrid 3D ear recognition system, we propose a method to combine local and holistic ear surface features in a computationally efficient manner. The system is comprised of four primary components, namely, 1) ear image segmentation, 2) local feature extraction and matching, 3) holistic feature extraction and matching, and 4) a fusion framework combining local and holistic features at the match score level. For the segmentation component, we employ our method proposed in [111], to localize a rectangular region containing the ear. For the local feature extraction and representation component, we extend the Histogram of Categorized Shapes (HCS) feature descriptor, proposed in [111], to an object-centered 3D shape descriptor, termed Surface Patch Histogram of Indexed Shapes (SPHIS), for surface patch representation and matching. For the holistic matching component, we introduce a voxelization scheme for holistic ear representation from which an efficient, element-wise comparison of gallery-probe model pairs can be made. The match scores obtained from both the local and holistic matching components are fused to generate the final match scores. Experimental results conducted on the University of Notre Dame (UND) collection J2 dataset demonstrate that theproposed approach outperforms state-of-the-art 3D ear biometric systems in both accuracy and efficiency.
Download or read book Human Identification Based on 3D Ear Models written by Steven Cadavid and published by . This book was released on 2007 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Human Ear Recognition by Computer written by Bir Bhanu and published by Springer Science & Business Media. This book was released on 2010-02-26 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: At the frontier of research, this book offers complete coverage of human ear recognition. It explores all aspects of 3D ear recognition: representation, detection, recognition, indexing and performance prediction. It uses large datasets to quantify and compare the performance of various techniques. Features and topics include: Ear detection and recognition in 2D image; 3D object recognition and 3D biometrics; 3D ear recognition; Performance comparison and prediction.
Download or read book 3D Face Modeling Analysis and Recognition written by Mohamed Daoudi and published by John Wiley & Sons. This book was released on 2013-06-11 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: 3D Face Modeling, Analysis and Recognition presents methodologies for analyzing shapes of facial surfaces, develops computational tools for analyzing 3D face data, and illustrates them using state-of-the-art applications. The methodologies chosen are based on efficient representations, metrics, comparisons, and classifications of features that are especially relevant in the context of 3D measurements of human faces. These frameworks have a long-term utility in face analysis, taking into account the anticipated improvements in data collection, data storage, processing speeds, and application scenarios expected as the discipline develops further. The book covers face acquisition through 3D scanners and 3D face pre-processing, before examining the three main approaches for 3D facial surface analysis and recognition: facial curves; facial surface features; and 3D morphable models. Whilst the focus of these chapters is fundamentals and methodologies, the algorithms provided are tested on facial biometric data, thereby continually showing how the methods can be applied. Key features: • Explores the underlying mathematics and will apply these mathematical techniques to 3D face analysis and recognition • Provides coverage of a wide range of applications including biometrics, forensic applications, facial expression analysis, and model fitting to 2D images • Contains numerous exercises and algorithms throughout the book
Download or read book Multibiometrics for Human Identification written by Bir Bhanu and published by Cambridge University Press. This book was released on 2011-04-29 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's security-conscious society, real-world applications for authentication or identification require a highly accurate system for recognizing individual humans. The required level of performance cannot be achieved through the use of a single biometric such as face, fingerprint, ear, iris, palm, gait or speech. Fusing multiple biometrics enables the indexing of large databases, more robust performance and enhanced coverage of populations. Multiple biometrics are also naturally more robust against attacks than single biometrics. This book addresses a broad spectrum of research issues on multibiometrics for human identification, ranging from sensing modes and modalities to fusion of biometric samples and combination of algorithms. It covers publicly available multibiometrics databases, theoretical and empirical studies on sensor fusion techniques in the context of biometrics authentication, identification and performance evaluation and prediction.
Download or read book Human Ear Recognition in 3D written by Hui Chen and published by . This book was released on 2006 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Human Recognition Using Local 3D Ear and Face Features written by Syed Mohammed Shamsul Islam and published by . This book was released on 2010 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: [Truncated abstract] The field of Biometrics is rapidly gaining popularity due to increasing breaches of traditional security systems and the decreasing costs of sensors. Among the bio- metric traits, the ear and the face are considered to be the most socially accepted due to their easy and non-intrusive data acquisition. Furthermore, their feature richness and physical proximity make them good candidates for fusion. However, occlusions due to the presence of hair and ornaments and deformations due to facial expressions pose great challenges for real-life applications of these two biometrics. These challenges are addressed in this dissertation through the development of efficient and robust algorithms for ear detection, ear data representation and finally, the combination of ear and face biometrics using robust fusion techniques. The dissertation is organized as a set of papers already published and/or submitted to journals or internationally refereed conferences. In this dissertation, a fast and fully automatic approach for detecting 3D ears from corresponding 2D and 3D profile images using a Cascaded AdaBoost algorithm is proposed. The classifiers are trained with three new Haar-like features and the detection is made using a 16 £ 24 detection window placed around the ear. The approach is significantly robust to hair, earrings and earphones and unlike other approaches, it does not require any assumption about the localization of the nose or the ear pit. The proposed ear detection approach achieves a detection rate of 99.9% on the UND-J Biometrics Database with 830 images of 415 subjects (the largest publicly available profile database) taking only 7.7 ms on average using a C + + implementation on a Core 2 Quad 9550, 2.83 GHz PC. For ear recognition, I initially proposed to apply the Iterative Closest Point (ICP) algorithm in a hierarchical manner: First with a low and then with higher resolution meshes of 3D ear data. The results obtained in the first stage are used for coarse alignment for the next stage and thus the computational cost of this accurate iterative algorithm is reduced. In order to achieve better e±ciency and robustness to occlusions, 3D local features (L3DFs) are used for data representation and matching. Local features are used to develop a rejection classifier, to extract a minimal rectangular feature-rich region and to compute the initial alignment for the ICP algorithm. An improved technique for feature matching is also proposed using geometric consistency among the corresponding features. On the UND-J database with 415 galleries and probes, an identification rate of 93.5% and an Equal Error Rate (EER) of 4.1% are obtained. Corresponding rates on a new dataset of 50 subjects all wearing ear-phones are 98% and 1%. With an un-optimized MATLAB implementation, the average time required for the L3DF-based matching and for the full matching including ICP are 0.06 and 2.28 seconds respectively. In order to further increase the robustness, two techniques are presented for fusing the ear biometrics with face biometrics. In score-level fusion, scores from the face are computed using the same matching technique proposed for the ear and a weighted sum rule with some complementary weights is used for fusion...
Download or read book Human Recognition at a Distance in Video written by Bir Bhanu and published by Springer Science & Business Media. This book was released on 2010-11-05 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most biometric systems employed for human recognition require physical contact with, or close proximity to, a cooperative subject. Far more challenging is the ability to reliably recognize individuals at a distance, when viewed from an arbitrary angle under real-world environmental conditions. Gait and face data are the two biometrics that can be most easily captured from a distance using a video camera. This comprehensive and logically organized text/reference addresses the fundamental problems associated with gait and face-based human recognition, from color and infrared video data that are acquired from a distance. It examines both model-free and model-based approaches to gait-based human recognition, including newly developed techniques where the both the model and the data (obtained from multiple cameras) are in 3D. In addition, the work considers new video-based techniques for face profile recognition, and for the super-resolution of facial imagery obtained at different angles. Finally, the book investigates integrated systems that detect and fuse both gait and face biometrics from video data. Topics and features: discusses a framework for human gait analysis based on Gait Energy Image, a spatio-temporal gait representation; evaluates the discriminating power of model-based gait features using Bayesian statistical analysis; examines methods for human recognition using 3D gait biometrics, and for moving-human detection using both color and thermal image sequences; describes approaches for the integration face profile and gait biometrics, and for super-resolution of frontal and side-view face images; introduces an objective non-reference quality evaluation algorithm for super-resolved images; presents performance comparisons between different biometrics and different fusion methods for integrating gait and super-resolved face from video. This unique and authoritative text is an invaluable resource for researchers and graduate students of computer vision, pattern recognition and biometrics. The book will also be of great interest to professional engineers of biometric systems.
Download or read book Face Biometrics for Personal Identification written by Besma Abidi and published by Springer Science & Business Media. This book was released on 2007-04-08 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides ample coverage of theoretical and experimental state-of-the-art work as well as new trends and directions in the biometrics field. It offers students and software engineers a thorough understanding of how some core low-level building blocks of a multi-biometric system are implemented. While this book covers a range of biometric traits, its main emphasis is placed on multi-sensory and multi-modal face biometrics algorithms and systems.
Download or read book Three dimensional Face Models with Application to Recognition written by Charlotte Svensson and published by . This book was released on 2006 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Ear Biometrics in 2D and 3D written by Surya Prakash and published by Springer. This book was released on 2015-03-21 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the state-of-the-art techniques and recent research progress on Ear Biometrics. Among the various physiological traits, the reasons for the ear to gain much attention in recent years are many folds. It has been found to be a reliable biometrics for human verification and identification. Ears are remarkably consistent and unlike face, it does not change shape with different expressions or age, and remain fixed in the middle of the side of the head against a predictable background. The book contains figures, tables and plots to illustrate the techniques in an easy and lucid manner. The book also provides an extensive literature on the subject, where readers have the benefit of receiving all the relevant material at one place in a very comprehensive manner. This book caters students, academics, researchers, practitioners who are interested in the field of Ear Biometrics and its applications in face recognition and security.
Download or read book 3D Biometrics written by David Zhang and published by Springer Science & Business Media. This book was released on 2013-05-31 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automatic personal authentication using biometric information is becoming more essential in applications of public security, access control, forensics, banking, etc. Many kinds of biometric authentication techniques have been developed based on different biometric characteristics. However, most of the physical biometric recognition techniques are based on two dimensional (2D) images, despite the fact that human characteristics are three dimensional (3D) surfaces. Recently, 3D techniques have been applied to biometric applications such as 3D face, 3D palmprint, 3D fingerprint, and 3D ear recognition. This book introduces four typical 3D imaging methods, and presents some case studies in the field of 3D biometrics. This book also includes many efficient 3D feature extraction, matching, and fusion algorithms. These 3D imaging methods and their applications are given as follows: - Single view imaging with line structured-light: 3D ear identification - Single view imaging with multi-line structured-light: 3D palmprint authentication - Single view imaging using only 3D camera: 3D hand verification - Multi-view imaging: 3D fingerprint recognition 3D Biometrics: Systems and Applications is a comprehensive introduction to both theoretical issues and practical implementation in 3D biometric authentication. It will serve as a textbook or as a useful reference for graduate students and researchers in the fields of computer science, electrical engineering, systems science, and information technology. Researchers and practitioners in industry and R&D laboratories working on security system design, biometrics, immigration, law enforcement, control, and pattern recognition will also find much of interest in this book.
Download or read book Audio and Video Based Biometric Person Authentication written by Takeo Kanade and published by Springer. This book was released on 2011-04-06 with total page 1152 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Conference on Audio- and Video-Based Biometric Person Authentication, AVBPA 2005, held in Hilton Rye Town, NY, USA, in July 2005. The 66 revised oral papers and 50 revised poster papers presented were carefully reviewed and selected from numerous submissions. The papers discuss all aspects of biometrics including iris, fingerprint, face, palm print, gait, gesture, speaker, and signature; theoretical and algorithmic issues are dealt with as well as systems issues. The industrial side of biometrics is evident from presentations on smart cards, wireless devices, and architectural and implementation aspects.
Download or read book Forensic Human Identification written by Tim Thompson and published by CRC Press. This book was released on 2006-11-14 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Identity theft, criminal investigations of the dead or missing, mass disasters both by natural causes and by criminal intent with this as our day to day reality, the establishment and verification of human identity has never been more important or more prominent in our society. Maintaining and protecting the integrity of out identity has reached
Download or read book Biometric Recognition written by Zhenan Sun and published by Springer Science & Business Media. This book was released on 2011-11-14 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th Chinese Conference on Biometric Recognition, CCBR 2011, held in Beijing, China in December 2011. The 35 revised full papers were carefully reviewed and selected from 71 submissions. The papers are organized in topical sections on problems in face; iris; hand biometrics; speaker; handwriting; gait; behavioral and soft biometrics; and security.
Download or read book Textbook of Forensic Odontology written by Nitul Jain and published by JP Medical Ltd. This book was released on 2012-12-30 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forensic odontology is a branch of forensic medicine and deals with the proper examination, handling and presentation of dental evidence in a court of law (The British Association for Forensic Odontology). This textbook begins with an introduction to forensic sciences and the different branches, followed by the applications of forensic odontology. Individual chapters are dedicated to other topics such as dental records, age estimation, bite marks and forensic facial reconstruction, giving students a step by step approach to the discipline. Separate chapters discuss mass disaster victim identification and child abuse, neglect and domestic violence. Key points Step by step guide to forensic odontology for dentistry students and trainees Includes chapters on mass disaster victim identification and child abuse, neglect and domestic violence More than 260 full colour images, photographs and illustrations
Download or read book Machine Learning for Intelligent Multimedia Analytics written by Pardeep Kumar and published by Springer Nature. This book was released on 2021-01-16 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents applications of machine learning techniques in processing multimedia large-scale data. Multimedia such as text, image, audio, video, and graphics stands as one of the most demanding and exciting aspects of the information era. The book discusses new challenges faced by researchers in dealing with these large-scale data and also presents innovative solutions to address several potential research problems, e.g., enabling comprehensive visual classification to fill the semantic gap by exploring large-scale data, offering a promising frontier for detailed multimedia understanding, as well as extract patterns and making effective decisions by analyzing the large collection of data.
