標(biāo)題: Titlebook: Deep Biometrics; Richard Jiang,Chang-Tsun Li,Christophe Rosenberger Book 2020 Springer Nature Switzerland AG 2020 Deep Learned Biometric.C [打印本頁] 作者: 叛亂分子 時間: 2025-3-21 19:05
書目名稱Deep Biometrics影響因子(影響力)
書目名稱Deep Biometrics影響因子(影響力)學(xué)科排名
書目名稱Deep Biometrics網(wǎng)絡(luò)公開度
書目名稱Deep Biometrics網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Deep Biometrics被引頻次
書目名稱Deep Biometrics被引頻次學(xué)科排名
書目名稱Deep Biometrics年度引用
書目名稱Deep Biometrics年度引用學(xué)科排名
書目名稱Deep Biometrics讀者反饋
書目名稱Deep Biometrics讀者反饋學(xué)科排名
作者: 蝕刻 時間: 2025-3-22 00:10 作者: SOBER 時間: 2025-3-22 03:39
Acquired Perforating Disorders,scriptions to be used in the person re-identification or person retrieval systems. In some deep learning based person re-identification methods, soft biometrics attributes are integrated into the network to boot the robustness of the feature representation. Biometrics can also be utilised as a domai作者: Peristalsis 時間: 2025-3-22 07:49 作者: Anthropoid 時間: 2025-3-22 12:33
Photo(chemo)therapy for Psoriasis clutter and allows a precise color patch extraction for better classification. The algorithm uses the geometric model for height classification while color and gender models are built using the AlexNet: a deep neural network. The proposed algorithm is tested on the AVSS 2018 challenge II dataset an作者: LEER 時間: 2025-3-22 14:04 作者: LEER 時間: 2025-3-22 20:24
Pathophysiologische Grundreaktionento record who is responsible in the data sharing activities, while the proposed BBC technology serves as the backbone of the IV data sharing architecture. Hence, the proposed BBC technology provides a more reliable trust environment between the vehicles while personal identities are traceable in the作者: 不規(guī)則 時間: 2025-3-22 22:04
Aufbau und Funktion der normalen Hauthes robust against new attack types (e.g., face morphing)? Do these methods provide other ways to perform PAD, for example, using open-set classifiers rather than the classical binary formulation? Are these methods applicable to the multi-biometric setting? In this chapter, we address these question作者: engrossed 時間: 2025-3-23 02:18
Using Age Information as a Soft Biometric Trait for Face Image Analysis,ss of their age. Recently, thanks to the rapid development of machine learning, especially deep learning, age-related face image analysis has gained much more attention from the research community than ever before. Deep learning based models that deal with age-related face image analysis have also s作者: 牽連 時間: 2025-3-23 06:02 作者: 鄙視讀作 時間: 2025-3-23 10:59 作者: 投票 時間: 2025-3-23 17:34 作者: MOTTO 時間: 2025-3-23 21:58
Deep Spectral Biometrics: Overview and Open Issues, wavelength, retaining additional, useful information, beyond that which is recorded by human vision. This can then be exploited against vulnerabilities present in security systems. Further, this additional information can be used by machine learning/computer vision systems for robust personal ident作者: AGATE 時間: 2025-3-24 00:14 作者: quiet-sleep 時間: 2025-3-24 05:56
The Rise of Data-Driven Models in Presentation Attack Detection,hes robust against new attack types (e.g., face morphing)? Do these methods provide other ways to perform PAD, for example, using open-set classifiers rather than the classical binary formulation? Are these methods applicable to the multi-biometric setting? In this chapter, we address these question作者: 偽善 時間: 2025-3-24 08:14 作者: 遺傳學(xué) 時間: 2025-3-24 11:39
2522-848X such as privacy versus security, biometric big data, biometr.This book highlights new advances in biometrics using deep learning toward deeper and wider background, deeming it “Deep Biometrics”. The book aims to highlight recent developments in biometrics using semi-supervised and unsupervised metho作者: 減弱不好 時間: 2025-3-24 16:43 作者: 仲裁者 時間: 2025-3-24 19:19
https://doi.org/10.1007/978-3-642-96746-7p learning are seemingly making a shift in the optical flow estimation research field. This chapter begins with reviewing traditional (handcrafted) approaches, then introduces the more recent approaches, and finally gets concluded with surveying deep learning approaches.作者: Radiculopathy 時間: 2025-3-25 00:12
Deep Learning for Biometric Face Recognition: Experimental Study on Benchmark Data Sets, structures are properly set. The use of pairwise neural network structures often improves the performance because such structures require a small set of optimisation parameters. The experiments have been conducted on some face biometric benchmark data sets, and the main findings are presented in the form of a tutorial.作者: 監(jiān)禁 時間: 2025-3-25 03:57 作者: Control-Group 時間: 2025-3-25 09:26 作者: PUT 時間: 2025-3-25 13:04
Book 2020o highlight recent developments in biometrics using semi-supervised and unsupervised methods such as Deep Neural Networks, Deep Stacked Autoencoder, Convolutional Neural Networks, Generative Adversary Networks, and so on. The contributors demonstrate the power of deep learning techniques in the emer作者: Palatial 時間: 2025-3-25 18:27 作者: terazosin 時間: 2025-3-25 23:11 作者: 混合 時間: 2025-3-26 00:13 作者: 凈禮 時間: 2025-3-26 07:16
https://doi.org/10.1007/978-3-540-36693-5e attention of the network to image regions that are descriptive and important for representation purposes. The model is trained in an end-to-end manner using a combined cross-entropy and center loss. Extensive experiments on the recently introduced Extended Annotated Web Ears (AWEx).作者: 全能 時間: 2025-3-26 10:20
Anti-Spoofing in Face Recognition: Deep Learning and Image Quality Assessment-Based Approaches,ecture that combines a pre-trained CNN model and the local binary patterns (LBP) descriptor. Both approaches are extensively evaluated on different datasets. The obtained results outperformed state-of-the-art approaches. Moreover, our methods are well suited for real-time mobile applications and they are also privacy-compliant.作者: 清醒 時間: 2025-3-26 12:53 作者: APEX 時間: 2025-3-26 19:04
Constellation-Based Deep Ear Recognition,e attention of the network to image regions that are descriptive and important for representation purposes. The model is trained in an end-to-end manner using a combined cross-entropy and center loss. Extensive experiments on the recently introduced Extended Annotated Web Ears (AWEx).作者: 不可侵犯 時間: 2025-3-27 00:41 作者: SLUMP 時間: 2025-3-27 03:59
Person Re-identification with Soft Biometrics Through Deep Learning, video surveillance systems, it is difficult to obtain these features due to the low resolution of surveillance footages and unconstrained real-world environments. As a result, most of the existing person re-identification techniques only focus on overall visual appearance. Recently, the use of soft作者: 尖叫 時間: 2025-3-27 05:21
Atypical Facial Landmark Localisation with Stacked Hourglass Networks: A Study on 3D Facial Modelli. In this chapter, we investigate the facial landmark detection for atypical 3D facial modelling in facial palsy cases, while potentially such modelling can assist the medical diagnosis using atypical facial features. In our work, a study of landmarks localisation methods such as stacked hourglass n作者: Ebct207 時間: 2025-3-27 11:45
Anti-Spoofing in Face Recognition: Deep Learning and Image Quality Assessment-Based Approaches,n attacks, so-called spoofing attacks. Therefore, it is important to develop techniques to automatically detect those attacks referred to as presentation attack detection (PAD) mechanisms. It is also important that these PAD mechanisms have to be seamlessly integrated into existing face recognition 作者: HALL 時間: 2025-3-27 15:58 作者: 注視 時間: 2025-3-27 20:38 作者: photophobia 時間: 2025-3-28 00:43
Developing Cloud-Based Intelligent Touch Behavioral Authentication on Mobile Phones,hanisms to protect users’ private information. The majority of smartphones offers a touchscreen where users can perform various touch actions. Thus, touch behavioral authentication is considered to be an important way to complement the existing textual passwords. Most behavioral schemes usually adop作者: 反省 時間: 2025-3-28 03:15 作者: ferment 時間: 2025-3-28 09:32 作者: 手榴彈 時間: 2025-3-28 12:53
Deep Spectral Biometrics: Overview and Open Issues,ems function by acquiring images in various sub-bands of the electromagnetic spectrum. These systems recently gained traction for their use in applications such as defense, nighttime surveillance and airport security. Spectral biometric systems have shown promise since they are resistant to spoof at作者: 手榴彈 時間: 2025-3-28 17:58 作者: analogous 時間: 2025-3-28 21:59 作者: amphibian 時間: 2025-3-29 01:34 作者: 搖曳 時間: 2025-3-29 06:42 作者: outskirts 時間: 2025-3-29 07:15 作者: 擔(dān)心 時間: 2025-3-29 13:09
Deep Biometrics978-3-030-32583-1Series ISSN 2522-848X Series E-ISSN 2522-8498 作者: 染色體 時間: 2025-3-29 19:10
https://doi.org/10.1007/978-3-030-32583-1Deep Learned Biometric; Convolutional Neural networks; Biometrics in Cybersecurity; Medical/Healthcare 作者: 多嘴 時間: 2025-3-29 22:51 作者: plasma-cells 時間: 2025-3-29 23:59 作者: 不溶解 時間: 2025-3-30 05:22 作者: trigger 時間: 2025-3-30 08:33
Photodynamic Therapy in Dermatology. In this chapter, we investigate the facial landmark detection for atypical 3D facial modelling in facial palsy cases, while potentially such modelling can assist the medical diagnosis using atypical facial features. In our work, a study of landmarks localisation methods such as stacked hourglass n
