Bilgisayar Mühendisliği Bölümü Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.11779/1940

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Citation - WoS: 4
Citation - Scopus: 8
Facial Landmark Localization in Depth Images Using Supervised Descent Method
(2015) Gökberk, Berk; Akarun, Lale; Camgoz, Necati Cihan
This paper proposes using the state of the art 2D facial landmark localization method, Supervised Descent Method (SDM), for facial landmark localization in 3D depth images. The proposed method was evaluated on frontal faces with no occlusion from the Bosphorus 3D Face Database. In the experiments, in which 2D features were used to train SDM, the proposed approach achieved state-of-the-art performance for several landmarks over the currently available 3D facial landmark localization methods.
Citation - WoS: 4
Citation - Scopus: 5
Private Minutia-Based Fingerprint Matching
(2015) Sarıer, Neyire Deniz
In this paper, we propose an efficient biometric authentication protocol for fingerprints particularly suited for the minutia-based representation. The novelty of the protocol is that we integrate the most efficient (linear complexity) private set intersection cardinality protocol of Cristofaro et al. and a suitable helper data system for biometrics in order to improve the accuracy of the system. We analyze the security of our scheme in the standard model based on well-exploited assumptions, considering malicious parties, which is essential to eliminate specific attacks on biometric authentication schemes designed for semi-honest adversaries only. Finally, the complexity is compared to the existing provably secure schemes for fingerprint matching, which shows that the new proposal outperforms them both in semi-honest and malicious security models.
Citation - WoS: 1
Citation - Scopus: 1
Security Analysis of Revocable and Bipartite Biotokens
(2015) Sarıer, Neyire Deniz
In this paper, we analyze the security of bipartite biotokens that release a secret key hidden in the biotoken by using biometrics. We show that the biotoken encoding of 80/112/128-bit symmetric encryption keys are vulnerable to brute force attacks, whose complexity is lower than cryptographic security. Also, we present the weaknesses in the design of revocable biotokens that form the basis for bipartite biotokens. Finally, we propose countermeasures to prevent these attacks and discuss the employment of other efficient cryptographic techniques that possess provable security guarantees.
Corner Detection by Local Zernike Moments
(2015) Ozbulak, Gokhan; Gökmen, Muhittin
In this paper, our corner-based interest point detector, Robust Local Zernike Moment based Features (R-LZMF), which was proved to be scale, rotation and translation-invariant, is investigated for invariance against affine transformation, lighting and blurring. Furthermore, R-LZMF's corner detection capability with Zernike moments of order 4 is theoretically explained in detail. Experimental results on the Inria Dataset show that R-LZMF outperforms SIFT, CenSurE, ORB, BRISK and competes with SURF in terms of repeatability for images under affine transformation and photometric deformation such as lighting and blurring.
Yüz Tanıma
(Elektrik Mühendisleri Odası EMO), 2015) Muhittin, Gökmen
Görüntü işleme alanında çalışan 36 farklı üniversiteden 52 doktora ve yüksek lisans öğrencisinin katılımı ile başlayan akademik kampta, alanında uzmanlıkları ile tanınan 11 farklı üniversiteden 14 akademisyenin katılımıyla 17 farklı seminer ve ders gerçekleştirildi. 2. Akademik Kamp çalışmalarına, 16 Nisan 2015 tarihinde saat 09:00`da açılış töreni ile başladı. Açılışta ilk olarak konuşan EMO Müdürü Emre Metin, kamp çalışmalarına ilişkin temel bilgileri katılımcılara aktardı. Metin`in ardından kürsüye gelen EMO Yönetim Kurulu Başkanı Hüseyin Yeşil ise konuşmasına kamp çalışmalarına katkı veren EMO MİSEM Komisyonu Başkanı Orhan Örücü, Prof . Dr. Tayfun Akgül ve kampa ev sahipliği yapan Nesin Vakfı`na teşekkür ederek, başladı. EMO Akademiyle Bağını Güçlendiriyor EMO`nun akademi dünyası ile daha yakın ilişki kurmayı hedeflediğine dikkat çeken Yeşil, ikincisi yapılan akademik kampı tekrarlamak istediklerini kaydetti. EMO`nun kendi meslek alanlarına giren üniversitelerin ilgili bölümleri ile özel ilişkiler kurmaya çalıştığını ifade eden Yeşil, bu kapsamda 25 Ekim 2014 tarihinde 56 bölüm başkanı ile bir toplantı düzenlediklerini kaydetti. EMO ve üniversite çalışmalarının koordine edilebilmesi için 11 Nisan 2015 tarihinde bir toplantı daha gerçekleştirildiğini ifade eden Yeşil, bu kapsamda Elektrik-Elektronik-Kontrol-Biyomedikal Mühendisliği Bölüm Başkanları Konseyi`nin de kurulduğunu bildirdi. EMO tarafından yayımlanan EMO Bilimsel Dergi ile alandaki bilimsel dergi ihtiyacının giderilmeye çalışıldığını ifade eden Yeşil, derginin 8. sayının hazırlıklarının yapıldığını kaydetti. Genç akademisyenlerden EMO Bilimsel Dergisi için makale katkısı isteyen Yeşil, baş editör Prof. Dr. Hamit Serbest ve diğer dergi editörlerine katkıları dolayısıyla teşekkür etti. EMO`nun Meslek İçi Eğitim Merkezi (MİSEM) çalışmaları kapsamında yürüttüğü eğitim ve seminerlere de dikkat çeken Yeşil, mesleki ve teknik gelişmelerin bu eğitimlerle üyelere aktarılmaya çalışıldığını vurguladı. EMO`nun mesleki ve teknik gündemin yanında toplumsal yaşamda da katkılar sağlamaya çalıştığını ifade eden Yeşil, konuşmasını şöyle sürdürdü: "Yalnızca Soma`da yaşanan iş cinayeti hem de tüm Türkiye`yi karanlıkta bırakan elektrik kesintisi konularında bile kamuoyunu bilgilendirme çabalarımız bile EMO`nun varlığının önemli olduğunu ortaya koymaktadır. Gerçeklerin ortaya çıkması için yürütmeye çalıştığımız bu çalışmaların genç arkadaşlarımızın da katkılarıyla güçlenerek, süreceğine inanıyoruz." Yeni Kamplar Geliyor Yeşil`in ardından kürsüye gelen EMO MİSEM Komisyonu Başkanı Orhan Örücü ise konuşmasına daha önce düzenlenen akademik kampa ilişkin bilgi aktararak başladı. Örücü, Akademik Kampa 36 farklı üniversiteden toplam 52 öğrencinin katılım sağlamasının önemine işaret ederek, kampta yer alan genç 20 kadın akademisyeni de kutladı. Akademik kampların farklı konularda daha sık periyotlarda tekrarlanması için çalışmalar yürütüldüğünü ifade eden Örücü, ODTÜ`den Prof. Dr. Murat Eyüpoğlu ile birlikte "Manyetik Görüntüleme", yine ODTÜ`den Prof. Dr. Bülent Ertan ile "Elektrik Makineleri ve Güç Elektroniği" ve İTÜ`den Doç. Dr. Neslihan Şengür ile "Yapay Sinir Ağları" konularına ilişkin kamp düzenlenebilmesi için çalışmalar yürütüldüğünü bildirdi. Örücü, hazırlık çalışmaları kapsamında seminerlere katılacak deneyimli akademisyenlerin belirlenmesi için önümüzdeki dönemde genç akademisyenler arasından EMO tarafından anketler düzenleneceği ve öneriler alınacağını kaydetti. Örücü`nün ardından konuşan Prof. Dr. Tayfun Akgül ise bir önceki kamp çalışmalarına değinerek, "çok keyifli" bir çalışma sürecinin yaşandığını kaydetti. Akgül, akademik kampların daha sıcak ilişkiler yaratarak, çalışmaların ivmesini artırdığına dikkat çekti. Nesin Vakfı`na Matematik Köyü`nden yarattığı çalışma ortamı için teşekkür eden Akgül, tüm katılımcıların kamp çalışmalarında önemli katkılar sağlayacağına inandığını ifade etti. Akgül`ün konuşmasını tamamlamasının ardından, katılımcılar kendini tanıtarak yaptıkları çalışmalara ilişkin bilgi aktardı. Kampta daha sonra Prof. Dr. Muhittin Gökmen`in verdiği "Yüz Tanıma" başlıklı derse geçildi. Kampta ilk gün çalışmaları kapsamında Gökmen`in yanı sıra Prof. Dr. Tayfun Akgül "Bilim Etiği", Prof. Dr. Hamit Serbest "Bilim, Mühendislik ve Öğretim Kurumları", Prof. Dr. Tayfun Akgül "Yüzsüz Yüz Tanıma" ve Prof. Dr. Enis Çetin "Orman Yangını Bulma, Örüntü Tanıma, Mikroskop Görüntülerinin İşlenmesi" konu başlıklarında seminerler verdi. Kamp çalışmaları kapsamında 17 Mart 2015 Cuma günü ise ilk olarak EMO Bilimsel Dergi Yayın Kurulu Üyesi Prof. Dr. Altay Güvenir tarafından "EMO Bilimsel Dergi Tanıtımı" başlıklı oturum düzenlendi. Ardından Prof. Dr. Atilla Bir`in tarafından ise katılımcılara "Öklid`ten Nasreddin Tusi`ye, Tusi`den Uluğ Bey‘e Bilim" başlıklı sunum gerçekleştirildi. Kamp çalışmaları kapsamında öğlden sonra Prof. Dr. Ayşin Ertüzün tarafından "Doku Analizi ve Örüntü Tanıma", Yrd. Doç. Dr. Emre Sümer tarafından ise "Görüntü İşleme Teknikleri ile 3-B Bina Modelleme" dersleri verildi. Günün son dersinin ise Prof. Dr. Ali Nesin, "Mühendisler ve Matematik; Sayı Ne Demektir?" başlıklığı altında yaptı. Cumartesi günü ise ilk olarak Yrd. Doç. Dr. Berk Gökberk`ün "Biyometri", Prof. Dr. Arif Nacaroğlu`nun "Sıkıştırılmış Sinyallerin Algılanması", Yrd. Doç. Dr. Özlem Durmaz İncel`in "İnsan Eylemi ve Bağlam Tanıma" ve Prof. Dr. A. Aydın Alatan`ın "Ardışık Görüntülerden Sahne Derinliği Kestirimi" başlıklı dersleri gerçekleştirildi. Kampın son gününde ise Yrd. Doç. Dr. Alper Selver`in "Sıradüzenli Sistemlerin Günlük Yaşam Uygulamaları: Kalite Tespiti, Organ Görüntüleme ve Radarla Nesne Tespiti" ile Doç. Dr. Hazım Kemal Ekenel`in "İçerik Tabanlı İmge ve Video Çıkarımı" başlıklı dersleri yapıldı. Kamp çalışmaları Efes Harabeleri`ne ve Şirince Köyü`ne yapılan gezi ile tamamlandı.
Citation - WoS: 7
Citation - Scopus: 3
Facial Landmark Localization in Depth Images Using Supervised Ridge Descent
(2015) Camgoz, Necati Cihan; Gökberk, Berk; Akarun, Lale; Struc, Vitomir; Kindiroglu, Ahmet Alp
Supervised Descent Method (SDM) has proven successful in many computer vision applications such as face alignment, tracking and camera calibration. Recent studies which used SDM, achieved state of the-art performance on facial landmark localization in depth images [4]. In this study, we propose to use ridge regression instead of least squares regression for learning the SDM, and to change feature sizes in each iteration, effectively turning the landmark search into a coarse to fine process. We apply the proposed method to facial landmark localization on the Bosphorus 3D Face Database; using frontal depth images with no occlusion. Experimental results confirm that both ridge regression and using adaptive feature sizes improve the localization accuracy considerably.
Citation - WoS: 2
Citation - Scopus: 2
Implementation of Multi-Threaded Erasure Coding Under Multi-Processing Environments
(2016) Arslan, Şuayb Şefik
Galois alan aritmetiği depolama ve iletişim cihazlarını veri kayıplarına karşı korumak için Reed-Solomon silme kodlarının temelini oluşturmaktadır. Galois alan aritmeti^ginin en güncel uygulamaları hızlı Galois alan hesaplamaları yapmamıza imkan sağlayan Intel’in SIMD eklerinde olduğu gibi 128-bitlik işlemci vektör talimatlarına dayanmaktadır. Buna rağmen, bu uygulamalar çoklu–dizin ve çoklu–süreçli ortamlara göre optimize edilmemiştir. Diğer taraftan, sunucuların çoklu istekleri eş zamanlı olarak yerine getirmesi ve donanımın sağladığı tüm paralelliği kodlama yükünü etkili yürütmek için kullanması arzu edilmektedir. Bu makale silme kodlarının çoklu-dizin işlemcilerle çoklu–süreçli ortamlarda nasıl kullanılaca^gının detaylarını sunmakta ve tek dizinli uygulamalara göre emtia mikro işlemciler ve Jerasure 2.0 yazılım kütüphanesini kullanarak önemli ölçüde performans artışının olabileceğini göstermektedir.
Citation - WoS: 1
Citation - Scopus: 1
Face Recognition With Local Zernike Moments Features Around Landmarks
(IEEE, 2016) Gökmen, Muhittin
In this paper, a new method that extracts the features from the complex Local Zernike Moments (LZM) images around facial landmarks is proposed. In this method, multiple grids which are in different sizes are located on landmarks and Phase-Magnitude (PM) histograms are calculated in each cells of these grids. The PM histograms are calculated for every component of LZM and the feature vectors are created by concatenating these histograms. By reducing the dimensionality of these vectors using Whitened Principle Component Analysis, more robust descriptors are constructed. It is shown that the state-of-the-art results are obtained in the experiments performed on FERET database using the proposed method. © 2016 IEEE.
Detecting the Effect of Voice-Over in Tv Ads Via Optic Brain Imaging (fnirs) and In-Depth Interview Methods
(2016) Çakar, Tuna; Girisken, Yener
Voice-overs are used extensively to increase the effectiveness of the TV ads especially in the last decade. The main purpose is to provide the brand message via a clear feature that will inevitably grab the attention of the viewers. The current study contains the neuro tests of 12 TV ads in banking and finance sectors on 168 participants in 8 groups. Optic brain imaging (fNIRS) and in-depth interviews were the methodologies utilized during the test of these TV ads. The obtained results indicate that the use of voice-over during the TV ads possibly causes the decrease in attention and emotional engagement levels of the participants.
Citation - Scopus: 4
Openmp and Posix Threads Implementation of Jerasure 2.0
(2017) Arslan, Şuayb Şefik; Le, Hoa; Landman, Joseph; Goker, Turguy
In shared memory multiprocessor architectures, threads can be used to implement parallelism. POSIX threads (pthreads) is a low-level bare-bones programming interface for working with threads. Therefore, we have extremely fine-grained control over thread management (create/join/etc), mutexes, and so on. On the other hand, openMP, as a shared-memory standard, is much higher level and portable interface which makes it easier to use multi-threading capability and obtain satisfactory performance improvements. Since pthreads is more flexible, it helps programmers gain more control on performance optimizations. Jerasure 2.0 erasure coding library has encoding/decoding engines which comprise independent "for" loop iterations and hence possess huge potential for multi-threaded processing. In this short paper, we investigate multi-threaded implementations of encoder/decoder pair of Jerasure 2.0 using two different technologies: OpenMP and pthreads. We constrain our changes to a minimum possible and compare the pure encoding/decoding performance with respect to each other as well as against that of the original single-threaded version by running them on two different server systems.
Citation - WoS: 2
Citation - Scopus: 5
Mojette Transform Based Ldpc Erasure Correction Codes for Distributed Storage Systems
(2017) Arslan, Şuayb Şefik; Normand, Nicolas; Parrein, Benoit
Mojette Transform (MT) based erasure correction coding possesses extremely efficient encoding/decoding algorithms and demonstrate promising burst erasure recovery performance. MT codes are based on discrete geometry and provide redundancy through creating projections. Projections are made of smaller data structures called bins and are generated from a two dimensional convex-shaped data. For exact data recovery, only a subset of projections are needed by the decoder. We realize that the discrete geometry definition of MT erasure codes corresponds to creating structured/deterministic generator matrices. In this study, we show an alternative Low Density Parity Check (LDPC) code construction methodology through investigating parity check matrices of MT codes which shows sparseness as the blocklength of the code gets large. In a distributed storage setting, we also quantify the repair bandwidth and show that this novel interpretation can be used to facilitate bin-level local repairs.
Citation - Scopus: 7
The Use of Neurometric and Biometric Research Methods in Understanding the User Experience During Product Search of First-Time Buyers in E-Commerce - Conference Paper
(Springer, 2017) Rızvanoğlu, Kerem; Gürvardar, İrfan; Çakar, Tuna; Öztürk, Özgürol; Zengin Çelik, Deniz
Understanding user experience (UX) during e-commerce has been a relatively important research area especially in the last decade. The use of conventional methods in UX such as task-observation, in-depth interviews and questionnaires has already contributed for the measurement of the efficiency and effectiveness. This empirical study has aimed to make use of both conventional and neuroscientific methods simultaneously to provide a richer analysis framework for understanding the product search experience of the first-time buyers. The current work provides insights for the results from the combined use of conventional and neuroscientific-biometric methods in a UX study. Although this has been an exploratory study within a limited literature, the obtained results indicate a potential use of these methods for UX research, which may contribute to improve the relevant experience in various digital platforms.
Citation - WoS: 2
Citation - Scopus: 2
Facial Expression Recognition From Still Images
(2017) Gökmen, Muhittin; Gazioglu, Bilge Suheyla Akkoca
With the development of technology, Facial Expression Recognition (FER) become one of the important research areas in Human Computer Interaction. Changes in the movement of some muscles in face create the facial expressions. By defining these changes, facial expressions can be recognized. In this study, a cascaded structure consists of Local Zernike Moments (LZM), Local XOR Patterns (LXP) and Global Zernike Moments (GZM) methods is proposed for the FER problem. The generally used database is the Extended Chon - Kanade (CK +) in FER problems. The database consists of image sequences of 327 expressions of 118 people. Most FER system includes recognition of 7 classes of emotions happiness, sadness, surprise, anger, disgust, fear and contempt, and we use Library of Support Vector Machines (LIBSVM) classifier for multi class classification with the leave one out cross-validation method. Our overall system performance is measured as 90.34% for FER.
Citation - WoS: 3
Citation - Scopus: 3
A Joint Dedupe-Fountain Coded Archival Storage
(2017) Arslan, Şuayb Şefik; Göker, Turguy; Wideman, Rod
An erasure-coded archival file storage system is presented using a chunk-based deduplication mechanism and fountain codes for space/time efficient operation. Unlike traditional archival storage, this proposal considers the deduplication operation together with correction coding in order to provide a reliable storage solution. The building blocks of deduplication and fountain coding processes are judiciously interleaved to present two novel ideas, reducing memory footprint with weaker hashing and dealing with the increased collisions using correction coding, and applying unequal error protection to deduplicated chunks for increased availability. The combination of these two novel ideas made the performance of the proposed system stand out. For example, it is shown to outperform one of the replication-based as well as RAID data protection schemes. The proposed system also addresses some of the fundamental challenges of today's low-cost deduplicated data storage systems such as hash collisions, disk bottleneck and RAM overflow problems, securing savings up to 90% regular RAM use.
Citation - WoS: 542
Citation - Scopus: 656
Human Semantic Parsing for Person Re-Identification
(2018) Kalayeh, Mahdi M; Başaran, Emrah; Shah, Mubarak; Kamasak, Mustafa E; Gökmen, Muhittin
Person re-identification is a challenging task mainly dueto factors such as background clutter, pose, illuminationand camera point of view variations. These elements hinder the process of extracting robust and discriminative representations, hence preventing different identities from being successfully distinguished. To improve the representation learning, usually local features from human body partsare extracted. However, the common practice for such aprocess has been based on bounding box part detection.In this paper, we propose to adopt human semantic parsing which, due to its pixel-level accuracy and capabilityof modeling arbitrary contours, is naturally a better alternative. Our proposed SPReID integrates human semanticparsing in person re-identification and not only considerably outperforms its counter baseline, but achieves stateof-the-art performance. We also show that, by employinga simple yet effective training strategy, standard populardeep convolutional architectures such as Inception-V3 andResNet-152, with no modification, while operating solelyon full image, can dramatically outperform current stateof-the-art. Our proposed methods improve state-of-the-artperson re-identification on: Market-1501 [48] by ~17% inmAP and ~6% in rank-1, CUHK03 [24] by ~4% in rank-1and DukeMTMC-reID [50] by ~24% in mAP and ~10% inrank-1.
Citation - WoS: 6
Citation - Scopus: 7
A Reliability Model for Dependent and Distributed Mds Disk Array Units
(IEEE Transactions on Reliability, 2018) Arslan, Şuayb Şefik
Archiving and systematic backup of large digital data generates a quick demand for multi-petabyte scale storage systems. As drive capacities continue to grow beyond the few terabytes range to address the demands of today’s cloud, the likelihood of having multiple/simultaneous disk failures became a reality. Among the main factors causing catastrophic system failures, correlated disk failures and the network bandwidth are reported to be the two common source of performance degradation. The emerging trend is to use efficient/sophisticated erasure codes (EC) equipped with multiple parities and efficient repairs in order to meet the reliability/bandwidth requirements. It is known that mean time to failure and repair rates reported by the disk manufacturers cannot capture life-cycle patterns of distributed storage systems. In this study, we develop failure models based on generalized Markov chains that can accurately capture correlated performance degradations with multiparity protection schemes based on modern maximum distance separable EC. Furthermore, we use the proposed model in a distributed storage scenario to quantify two example use cases: Primarily, the common sense that adding more parity disks are only meaningful if we have a decent decorrelation between the failure domains of storage systems and the reliability of generic multiple single-dimensional EC protected storage systems.
Citation - Scopus: 2
A Visualization Platfom for Disk Failure Analysis
(IEEE, 2018) Arslan, Şuayb Şefik; Yiğit, İbrahim Onuralp; Zeydan, Engin
It has become a norm rather than an exception to observe multiple disks malfunctioning or whole disk failures in places like big data centers where thousands of drives operate simultaneously. Data that resides on these devices is typically protected by replication or erasure coding for long-term durable storage. However, to be able to optimize data protection methods, real life disk failure trends need to be modeled. Modelling helps us build insights while in the design phase and properly optimize protection methods for a given application. In this study, we developed a visualization platform in light of disk failure data provided by BackBlaze, and extracted useful statistical information such as failure rate and model-based time to failure distributions. Finally, simple modeling is performed for disk failure predictions to alarm and take necessary system-wide precautions.
Citation - WoS: 13
Citation - Scopus: 16
Face Recognition With Patch-Based Local Walsh Transform
(Elsevier, 2018) Uzun-Per, Meryem; Gökmen, Muhittin
In this paper, we present a novel dense local image representation method called Local Walsh Transform (LWT)by applying the well-known Walsh Transform (WT) to each pixel of an image. The LWT decomposes an image into multiple components, and produces LWT complex images by using the symmetrical relationship between them. Cascaded LWT (CLWT) is also a dense local image representation obtained by applying the LWT again to real and imaginary parts of LWT complex images. Applying the LWT once more to real and imaginary parts of LWT complex images increases the success rate especially on low resolution images. In order to combine the advantages of sparse and dense local image representations, we present Patch-based LWT (PLWT) and Patch-based CLWT (PCLWT) by applying the LWT and CLWT, respectively, to patches extracted around landmarks of multi-scaled face images. The extracted high dimensional features of the patches are reduced through the application of the Whitened Principal Component Analysis (WPCA). Experimental results show that both thePLWT and PCLWT are robust to illumination and expression changes, occlusion and low resolution. The state-of-the-art performance is achieved on the FERET and SCface databases, and the second best unsupervised category result is achieved on the LFW database.
Citation - WoS: 14
Citation - Scopus: 40
An Overview of Blockchain Technologies: Principles, Opportunities and Challenges
(IEEE, 2018) Arslan, Şuayb Şefik; Mermer, Gültekin Berahan; Zeydan, Engin
Blokzincir, toplumumuzun birbiriyle iletişim kurma ve ticaret yapma biçiminde devrim yapma potansiyeline sahip, yakın zamanda ortaya çıkmış olan bir teknolojidir. Bu teknolojinin sağladığı en önemli avantaj aracı gerektiren bir oluşumda güvenilir bir merkezi kuruma ihtiyaç duymadan değer taşıyan işlemleri değiş tokuş edebilmesidir. Ayrıca, veri bütünlüğü, dahili orijinallik ve kullanıcı şeffaflığı sağlayabilir. Blokzincir, birçok yenilikçi uygulamanın temel alınacağı yeni internet olarak görülebilir. Bu çalışmada, genel çalışma prensibi, oluşan fırsatlar ve ileride karşılaşılabilecek zorlukları içerecek şekilde güncel blokzincir teknolojilerinin genel bir görünümünü sunmaktayız.
Citation - WoS: 9
Citation - Scopus: 11
An Efficient Multiscale Scheme Using Local Zernike Moments for Face Recognition
(MDPI, 2018) Gökmen, Muhittin; Başaran, Emrah; Kamasak, Mustafa E.
In this study, we propose a face recognition scheme using local Zernike moments (LZM), which can be used for both identification and verification. In this scheme, local patches around the landmarks are extracted from the complex components obtained by LZM transformation. Then, phase magnitude histograms are constructed within these patches to create descriptors for face images. An image pyramid is utilized to extract features at multiple scales, and the descriptors are constructed for each image in this pyramid. We used three different public datasets to examine the performance of the proposed method:Face Recognition Technology (FERET), Labeled Faces in the Wild (LFW), and Surveillance Cameras Face (SCface). The results revealed that the proposed method is robust against variations such as illumination, facial expression, and pose. Aside from this, it can be used for low-resolution face images acquired in uncontrolled environments or in the infrared spectrum. Experimental results show that our method outperforms state-of-the-art methods on FERET and SCface datasets.

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