scholarly journals Three-Dimensional Head-Pose Estimation for Smart Iris Recognition from a Calibrated Camera

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Belhassen Akrout ◽  
Sana Fakhfakh
Keyword(s):  
High Performance ◽  
Iris Recognition ◽  
Three Dimensional ◽  
Head Pose Estimation ◽  
Head Pose ◽  
New Approach ◽  
Recognition Systems ◽  
High Level ◽  
The Comparative Study ◽  
Made In

Current research in biometrics aims to develop high-performance tools, which would make it possible to better extract the traits specific to each individual and to grasp their discriminating characteristics. This research is based on high-level analyses of images, captured from the candidate to identify, for a better understanding and interpretation of these signals. Several biometric identification systems exist. The recognition systems based on the iris have many advantages and they are among the most reliable. In this paper, we propose a new approach based on biometric iris authentication. A new scheme was made in this work that consists of calculating a three-dimensional head pose to capture a good iris image from a video sequence which affects the identification results. From this image, we were able to locate the iris and analyse its texture by intelligent use of Meyer wavelets. Our approach was evaluated and approved through two databases CASIA Iris Distance and MiraclHB. The comparative study showed its effectiveness compared to those in the literature.

scholarly journals Three-Dimensional Dirac Semimetal/Organic Thin Film Heterojunction Photodetector With Fast Response and High Detectivity

2021 ◽  
Vol 9 ◽  
Author(s):  
Qi Liu ◽  
Ming Yang ◽  
Jiangwei Zhang ◽  
Mingliang Yang ◽  
Jun Wang ◽  
...  
Keyword(s):  
Thin Film ◽  
High Performance ◽  
Three Dimensional ◽  
Fast Response ◽  
Current Response ◽  
Organic Thin Film ◽  
Small Current ◽  
Dirac Semimetal ◽  
High Level ◽  
P Type

As a typical three-dimensional Dirac semimetal (3D DSM), Cd3As2 possess ultrahigh carrier mobility, high level of full spectral absorption, fast electron transmission speed, and high photocurrent response, which enable wide applications in infrared photodetector. However, the large dark current of the detector based on Cd3As2 thin film limits the application of the small current response. Hence, we demonstrated heterojunction photodetectors based on n-type 3D DSM Cd3As2 (pristine and Zn doped) and p-type organic (PbPc) by depositing PbPc thin film on Cd3As2 (pristine and Zn doped) thin film using thermal deposition method. These photodetectors can detect the radiation wavelength from 405 to 1,550 nm at room temperature. It is remarkable that this thin film heterojunction photodetector exhibits high detectivity (3.95 × 1011 Jones) and fast response time (160 μs) under bias voltage, which is significantly improved vs. that of Cd3As2-based devices. The excellent performances are attributed to the strong built-in electric field at the interface of p-n junction, which is beneficial for efficient photocarriers collection and transportation. These results show that DSM/organic thin film heterojunction has excellent performance in the application of photodetectors. By combining 3D DSM with organic to form heterojunction, it provides a feasible solution for high-performance photodetectors.

EM3DANI: A Julia package for fully anisotropic 3D forward modeling of electromagnetic data

Geophysics ◽  
2021 ◽  
pp. 1-45
Author(s):  
Ronghua Peng ◽  
Bo Han ◽  
Yajun Liu ◽  
Xiangyun Hu
Keyword(s):  
High Performance ◽  
Three Dimensional ◽  
Anisotropic Media ◽  
Forward Modeling ◽  
Hydrocarbon Exploration ◽  
Third Party ◽  
Low Level ◽  
Numerical Computing ◽  
Computationally Intensive ◽  
High Level

Forward modeling is vital for three-dimensional (3D) inversion and interpretation of electromagnetic (EM) data in anisotropic media, which is one of the major challenges in the field of EM geophysics. However, there are few freely available 3D codes that are capable of modeling EM responses in fully anisotropic media. Besides, most of the existing 3D EM codes are written in low-level languages such as C and Fortran, making them difficult to read, maintain and extend. Taking advantage of recent progress in computer technology and numerical methods, we have developed an open-source package for forward modeling of frequency-domain EM fields in a fully 3D anisotropic earth (EM3DANI) using the Julia language, a relatively young, high-level programming language with a focus on high performance. Based on a mimetic finite-volume (MFV) discretization of the governing equations, the modeling algorithm is expressed in an abstract form in terms of matrices/vectors and thus can be easily implemented by using any high-level language commonly-used for numerical computing. Existing libraries written in low-level languages can be easily integrated into a Julia code without the so-called two-language problem, thus we have exploited several mature third-party packages to deal with computationally intensive parts of the forward modeling, which guarantees high stability and efficiency. We have elaborated the structure of the package, paying special attention to code usability, readability and extendability, while striving to retain versatility and high performance. The effectiveness of the code is demonstrated through two 1D synthetic examples for magnetotellurics (MT) and controlled-source electromagnetics (CSEM) problems, respectively. High accuracy and efficiency can be achieved for both 1D examples. We further present a 3D example mimicking marine CSEM survey scenario for hydrocarbon exploration. The simulation results indicate that the effect of the anisotropy on forward responses is significant, and can be comparable to that of the target reservoir.

Meso-Molding Three-Dimensional Macroporous Perovskites: A New Approach to Generate High-Performance Nanohybrid Catalysts

2016 ◽  
Vol 8 (4) ◽  
pp. 2457-2463 ◽  
Author(s):  
Hamidreza Arandiyan ◽  
Jason Scott ◽  
Yuan Wang ◽  
Hongxing Dai ◽  
Hongyu Sun ◽  
...  
Keyword(s):  
High Performance ◽  
Three Dimensional ◽  
New Approach

Direct three‐dimensional head pose estimation from Kinect‐type sensors

2014 ◽  
Vol 50 (4) ◽  
pp. 268-270 ◽  
Author(s):  
F.A. Kondori ◽  
Sh. Yousefi ◽  
H. Li
Keyword(s):  
Pose Estimation ◽  
Three Dimensional ◽  
Head Pose Estimation ◽  
Head Pose

A review on manufacture of polymeric foam cores for sandwich structures of complex shape in automotive applications

2021 ◽  
pp. 109963622110305
Author(s):  
Youming Chen ◽  
Raj Das
Keyword(s):  
Mechanical Properties ◽  
High Performance ◽  
Complex Shape ◽  
Complex Geometry ◽  
Sandwich Structures ◽  
Three Dimensional ◽  
High Density ◽  
Automotive Applications ◽  
Polymeric Foam ◽  
High Level

In this work, polymeric foam thermoforming, foam injection moulding, bead foaming and film foaming were reviewed in an effort to explore feasible processes to manufacture sandwich structures of complex geometry for automotive applications. Injection moulded foams generally suffer from high density, poor cell morphologies and unnecessary skin layers. Foamable films currently available are pressure-induced. In order for foamable films to produce foam, high uniformly-distributed pressure needs to be applied, which makes it difficult to manufacture foam parts of three-dimensional complex geometry with foamable films. The majority of commercial high-performance foam cores can be thermoformed. Ideally, thermoformed foam cores would have good mechanical properties if high-performance foam sheets are used. However, the mechanical properties of foams might be reduced during the process of thermoforming, especially around corners. Bead foaming offers a high level of freedom in foam geometry to be moulded, and inserts can be integrated into foam cores during the process of moulding. Moreover, foam cores with high density in high stressed areas and low density in low stressed areas can be manufactured with foam beads of different densities. However, due to nonhomogeneous degree of fusion and weak bonds and voids between beads, bead foams generally show mechanical properties lower than their block counterpart. Relatively speaking, thermoforming with high-performance foam sheets and moulding with high-performance foam beads hold great potentials for mass production of sandwich cores of complex geometry for automotive applications. However, further investigation on the mechanical properties of thermoformed foams and high-performance bead foams is still in need to confirm their suitability.

scholarly journals PETRA

2021 ◽  
Vol 18 (2) ◽  
pp. 1-26
Author(s):  
Ramin Izadpanah ◽  
Christina Peterson ◽  
Yan Solihin ◽  
Damian Dechev
Keyword(s):  
Data Structures ◽  
High Performance ◽  
Transactional Memory ◽  
Superior Performance ◽  
New Approach ◽  
Ordering Constraints ◽  
Level Information ◽  
Order Of Magnitude ◽  
Persistent Data ◽  
High Level

Emerging byte-addressable Non-Volatile Memories (NVMs) enable persistent memory where process state can be recovered after crashes. To enable applications to rely on persistent data, durable data structures with failure-atomic operations have been proposed. However, they lack the ability to allow users to execute a sequence of operations as transactions. Meanwhile, persistent transactional memory (PTM) has been proposed by adding durability to Software Transactional Memory (STM). However, PTM suffers from high performance overheads and low scalability due to false aborts, logging, and ordering constraints on persistence. In this article, we propose PETRA, a new approach for constructing persistent transactional linked data structures. PETRA natively supports transactions, but unlike PTM, relies on the high-level information from the data structure semantics. This gives PETRA unique advantages in the form of high performance and high scalability. Our experimental results using various benchmarks demonstrate the scalability of PETRA in all workloads and transaction sizes. PETRA outperforms the state-of-the-art PTMs by an order of magnitude in transactions of size greater than one, and demonstrates superior performance in transactions of size one.

Head Pose Estimation Algorithm Based on Structured Light Three-Dimensional Reconstruction

2020 ◽  
Vol 57 (18) ◽  
pp. 181008
Author(s):  
钟俊宇 Zhong Junyu ◽  
邱健 Qiu Jian ◽  
韩鹏 Han Peng ◽  
骆开庆 Luo Kaiqing ◽  
彭力 Peng Li ◽  
...  
Keyword(s):  
Pose Estimation ◽  
Structured Light ◽  
Three Dimensional ◽  
Estimation Algorithm ◽  
Head Pose Estimation ◽  
Three Dimensional Reconstruction ◽  
Head Pose ◽  
Dimensional Reconstruction
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