標(biāo)題: Titlebook: Handbook of Remote Biometrics; for Surveillance and Massimo Tistarelli (Prof.),Stan Z. Li,Rama Chellap Book 2009 Springer-Verlag London 200 [打印本頁] 作者: Forbidding 時間: 2025-3-21 17:09
書目名稱Handbook of Remote Biometrics影響因子(影響力)
書目名稱Handbook of Remote Biometrics影響因子(影響力)學(xué)科排名
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書目名稱Handbook of Remote Biometrics網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Handbook of Remote Biometrics被引頻次
書目名稱Handbook of Remote Biometrics被引頻次學(xué)科排名
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書目名稱Handbook of Remote Biometrics讀者反饋
書目名稱Handbook of Remote Biometrics讀者反饋學(xué)科排名
作者: ADAGE 時間: 2025-3-22 00:06
Richard D. Seely,Michela Goffredo,John N. Carter,Mark S. Nixonropriate rigor, the foun- dations of calculus (including the "Fundamental Theorem"), and, along theway, (3) develop those skills and attitudes that enable us to continue learning mathematics on our own. Three decades of experience with the exercise have not diminished my astonishment that it can be 作者: 延期 時間: 2025-3-22 04:02
Meng Ao,Dong Yi,Zhen Lei,Stan Z. Lie principal theorems concerning the variation of a function on ?., and in Section 12.2 we show that this concept can be used to define an important extension of the Riemann integral, one which enlarges substantially the class of functions which may be integrated.作者: 擁護(hù) 時間: 2025-3-22 08:24
Emilio Mordiniurse in Statistics for Signal Analysis. may be used by junior/senior undergraduates or graduate students in electrical, systems, computer, and biomedical engineering, as well as the physical sciences. The work is also an excellent resource of educational and training material for scientists and engi作者: PSA-velocity 時間: 2025-3-22 11:38
urse in Statistics for Signal Analysis. may be used by junior/senior undergraduates or graduate students in electrical, systems, computer, and biomedical engineering, as well as the physical sciences. The work is also an excellent resource of educational and training material for scientists and engi作者: 碌碌之人 時間: 2025-3-22 14:50
Nick Bartlow,Bojan Cukicurse in Statistics for Signal Analysis. may be used by junior/senior undergraduates or graduate students in electrical, systems, computer, and biomedical engineering, as well as the physical sciences. The work is also an excellent resource of educational and training material for scientists and engi作者: 健談 時間: 2025-3-22 20:55 作者: excrete 時間: 2025-3-23 00:12 作者: Glycogen 時間: 2025-3-23 03:48
Rubén Vera Rodríguez,John S.D. Mason,Nicholas W.D. Evansduate students in electrical, systems, computer, and biomedical engineering, as well as the physical sciences. The work is also an excellent resource of educational and training material for scientists and engi978-0-8176-8101-2作者: 寬敞 時間: 2025-3-23 07:31 作者: 責(zé)難 時間: 2025-3-23 10:03 作者: 加入 時間: 2025-3-23 16:16 作者: ambivalence 時間: 2025-3-23 21:45
2191-6586 metrics which is held every year in Alghero, Italy and which has become a ?agship activity of the IAPR Technical Committee on Biometrics (IAPR TC4). The last four chapters of the book are derived from some of t978-1-4471-2670-6978-1-84882-385-3Series ISSN 2191-6586 Series E-ISSN 2191-6594 作者: adequate-intake 時間: 2025-3-23 23:54
Biometrics at a Distance: Issues, Challenges, and Prospectsface recognition and novel biometric sensors for building intelligent environments. Several factors affecting the performances of biometric systems are identified and discussed in some detail. Some typical applications and prospects are illustrated together with their impact in today’s and tomorrow’作者: acrophobia 時間: 2025-3-24 02:51 作者: 拱墻 時間: 2025-3-24 08:54
View Invariant Gait Recognitionrocess. On the other hand, the 2D gait biometric approaches use a single camera, usually positioned perpendicular to the subject’s walking direction. Because in real surveillance scenarios a system that operates in an unconstrained environment is necessary, many of the recent gait analysis approache作者: 發(fā)源 時間: 2025-3-24 11:20 作者: Aerophagia 時間: 2025-3-24 16:14
Face Recognition in Humans and Machinest emerges. From the computational side, we discuss face recognition technologies and the strategies they use to overcome challenges to robust operation over viewing parameters. Finally, we conclude the chapter with a look at some recent studies that compare human and machine performances at face rec作者: 形狀 時間: 2025-3-24 22:18 作者: 莊嚴(yán) 時間: 2025-3-25 01:12
Multibiometric Systems: Overview, Case Studies, and Open Issuese in a biometric system. The role of using ancillary information such as biometric data quality and soft biometric traits (e.g., height) to enhance the performance of these systems is discussed. Three case studies demonstrating the benefits of a multibiometric system and the factors impacting its ar作者: anaerobic 時間: 2025-3-25 04:47 作者: FLING 時間: 2025-3-25 07:57
3D Face Recognition: Technology and Applications algorithmic aspects of 3D face recognition are broadly covered; we inspect automatic landmarking and automatic registration as sine qua non parts of a complete 3D facial biometric system. We summarize major coordinated actions in evaluating 3D face recognition algorithms, and conclude with a case study on a recent and challenging database.作者: magnate 時間: 2025-3-25 15:33
Assessment of a Footstep Biometric Verification Systemic features classified with a support vector machine. As an added benefit of the work, the footstep database is freely available to the research community. Currently, the research focus is on features extraction on a new high spatial density footsteps database.作者: Accolade 時間: 2025-3-25 15:56
Detection of Singularities in Fingerprint Images Using Linear Phase Portraitshase portraits at each location of a sliding window and then analyses its parameters. Using a well-established mathematical background, our algorithm is able to decide if a singular point is existent. Furthermore, the parameters can be used to classify the type of the singular point into whorls, deltas and loops.作者: 6Applepolish 時間: 2025-3-25 22:49
Ethics and Policy of Biometricsto offer an identity to individuals solely for the purpose of categorization, we can then consider this to be an unwelcome risk of this technology. Thus, care must be taken in the application of biometric technology.作者: Gentry 時間: 2025-3-26 01:25
Keystroke Dynamics-Based Credential Hardening Systems.15%. Beyond presenting results demonstrating the credential hardening effect of our scheme, we look into the notion that a user’s familiarity to components of a credential set can non-trivially impact error rates.作者: 專心 時間: 2025-3-26 05:00
James R. Matey,Lauren R. Kennell provided by statistics are never exact; there’s always error. Statistics does not eliminate error; rather, it controls it. In short, statistics allows you to be precise about imprecision! It’s the . that’s at the heart of every statistical technique.作者: 擁擠前 時間: 2025-3-26 09:47
Machine Learning Techniques for Biometricson problems. In the multi-task case we show how the data structure described by a group of features common to the various tasks can be effectively learned, and then we discuss how this approach could be used to address face recognition.作者: 摻和 時間: 2025-3-26 15:01
Book 2009 the Bertillon coding system for the classi?cation of humans based on physical measurements, scientists and engineers have been trying to invent new devices and classi?cation systems to capture the human identity from its body measurements. One of the main limitations of the precursors of today’s bi作者: Encapsulate 時間: 2025-3-26 19:52
2191-6586 low resolution data and in motion.Examines distributed compThe development of technologies for the identi?cation of individuals has driven the interest and curiosity of many people. Spearheaded and inspired by the Bertillon coding system for the classi?cation of humans based on physical measurement作者: 者變 時間: 2025-3-26 22:49
n. Moreover, the solution of high-degree first-order differential equations (Clairaut and Lagrange equation) that are often encountered in the applications is discussed. The chapter ends with the discussion about family of curves and orthogonal trajectories.作者: 顛簸下上 時間: 2025-3-27 03:31
Rama Chellappa,Manuele Bicego,Pavan Turagas which are the cornerstone for statistical inference are described: Normal, Student’s t, the chi-squared, and F. One of the most important results in statistical inference, the Central Limit Theorem, is discussed.作者: 剛毅 時間: 2025-3-27 07:16 作者: 很是迷惑 時間: 2025-3-27 13:27
Massimo Tistarelli (Prof.),Stan Z. Li,Rama ChellapFirst edited book on Biometrics for surveillance and remote data acquisition.Focuses on the acquiring of data from a distance and processing low resolution data and in motion.Examines distributed comp作者: 庇護(hù) 時間: 2025-3-27 15:18 作者: otic-capsule 時間: 2025-3-27 19:15 作者: 樂章 時間: 2025-3-27 21:55
Giuseppe Parziale,Yi Chenis a straightforward generalization of the theory of area (Jordan content) given in Section 5.4. We shall outline the main steps of the the theory and leave the proofs of the theorems to the reader. We first recall the definitions of open and closed cells given earlier in Section 6.3.作者: Protein 時間: 2025-3-28 05:26
Alice O’Toole,Massimo Tistarellilems and the inclusion of answers to most of the odd-numbered exercises. The book‘s readability has also been improved by the further clarification of many of the proofs, additional explanatory remarks, and clearer notation.978-1-4612-6460-6978-1-4419-8744-0Series ISSN 0172-6056 Series E-ISSN 2197-5604 作者: 投票 時間: 2025-3-28 08:17
In Chap. 1 ordinary differential equations are introduced through some examples. Elements from the theory that will be worked out in more detail in later sections and chapters are presented. The classification of differential equations into initial and boundary value problems is described.作者: Nibble 時間: 2025-3-28 14:01
Terrance E. Boult,Walter ScheirerThe proofs of many theorems of calculus require a knowledge of the basic properties of continuous functions. In this section we establish the Intermediate-value theorem, an essential tool used in the proofs of the Fundamental theorem of calculus and of the Theorem of the mean.作者: forbid 時間: 2025-3-28 16:53
Berk G?kberk,Albert Ali Salah,Ne?e Alyüz,Lale AkarunIn this chapter, we describe confidence intervals and explain how they may be derived. We consider a number of classical confidence intervals, for population means and population variances, and discuss a number of examples using them.作者: choroid 時間: 2025-3-28 21:27
Face Recognition at a Distance: System IssuesFace recognition at a distance (FRAD) is one of the most challenging forms of face recognition applications. In this chapter, we analyze issues in FRAD system design, which are not addressed in near-distance face recognition, and present effective solutions for making FRAD systems for practical deployments. Evaluation of FRAD systems is discussed.作者: GEST 時間: 2025-3-29 01:38
https://doi.org/10.1007/978-1-84882-385-33D; algorithms; biometrics; fingerprint; fingerprint recognition; learning; machine learning; verification作者: 噴油井 時間: 2025-3-29 07:06 作者: AUGUR 時間: 2025-3-29 09:23 作者: Feigned 時間: 2025-3-29 15:07 作者: Liberate 時間: 2025-3-29 16:48
Iris Recognition – Beyond One Meterms that have been very effective. The systems deployed to date make use of iris Remote Biometric cameras that require significant user cooperation; that in turn imposes significant constraints on the deployment scenarios that are practical..There are many applications in which it would be useful to 作者: nugatory 時間: 2025-3-29 22:56 作者: 下邊深陷 時間: 2025-3-30 02:05
Advanced Technologies for Touchless Fingerprint RecognitionThe quantity and direction of the pressure applied by the user, the skin conditions, and the projection of an irregular 3D object (the finger) onto a 2D flat plane introduce distortions, noise, and inconsistencies on the captured fingerprint image. Due to these negative effects, the representation o作者: START 時間: 2025-3-30 06:22 作者: WAX 時間: 2025-3-30 09:14 作者: SLAG 時間: 2025-3-30 13:34 作者: Peak-Bone-Mass 時間: 2025-3-30 17:02
3D Face Recognition: Technology and Applicationsge-scale deployment of biometric systems that rely on this modality. This chapter discusses advances in 3D face recognition with respect to current research and technology trends, together with its open challenges. Five real-world scenarios are described for application of 3D face biometrics. Then w作者: ORE 時間: 2025-3-31 00:20 作者: EVEN 時間: 2025-3-31 04:00
Multibiometric Systems: Overview, Case Studies, and Open Issuesxt of biometrics, evidence reconciliation plays a pivotal role in enhancing the recognition accuracy of human authentication systems and is referred to as multibiometrics. Multibiometric systems combine the information presented by multiple biometric sensors, algorithms, samples, units, or traits in
