检索结果-内蒙古大学图书馆

Comparative study of face recognition techniques that use joint transform correlation and principal component analysis

引用

APPLIED OPTICS 2005年第5期44卷 688-692页

作者： Alsamman, A Alam, MS Univ New Orleans Dept Elect Engn New Orleans LA 70148 USA Univ S Alabama Dept Elect Engn Mobile AL 36688 USA

Face recognition based on principal component analysis (PCA) that uses eigenfaces is popular in face recognition markets. We present a comparison between various optoelectronic face recognition techniques and a PCA-based technique for face recognition. Computer simulations are used to study the effectiveness of the PCA-based technique, especially for facial images with a high level of distortion. Results are then compared with various distortion-invariant optoelectronic face recognition algorithms such as synthetic discriminant functions (SDF), projection-slice SDF, optical-correlator-based neural networks, and pose-estimation-based correlation. (C) 2005 Optical Society of America.

关键词： Face recognition image recognition algorithms Joint transform correlators Neural networks Optical neural systems Synthetic discrimination functions

来源：评论

学校读者我要写书评

暂无评论

Is spectral reflectance of the face a reliable biometric?

引用

OPTICS EXPRESS 2015年第12期23卷 15160-15173页

作者： Uzair, Muhammad Mahmood, Arif Shafait, Faisal Nansen, Christian Mian, Ajmal Univ Western Australia Comp Sci & Software Engn Crawley WA 6009 Australia Univ Calif Davis Dept Entomol & Nematol Davis CA 95616 USA

Over a decade ago, Pan et al. [IEEE TPAMI 25, 1552 (2003)] performed face recognition using only the spectral reflectance of the face at six points and reported around 95% recognition rate. Since their database is private, no one has been able to replicate these results. Moreover, due to the unavailability of public datasets, there has been no detailed study in the literature on the viability of facial spectral reflectance for person identification. In this study, we introduce a new public database of facial spectral reflectance profiles measured with a high precision spectrometer. For each of the 40 subjects, spectral reflectance was measured at the same six points as Pan et al. [IEEE TPAMI 25, 1552 (2003)] in multiple sessions and with time lapse. Furthermore, we sample the facial spectral reflectance from two public hyperspectral face image datasets and analyzed the data using state of the art face classification techniques. The best performing classifier achieved the maximum rank-1 identification rate of 53.8%. We conclude that facial spectral reflectance alone is not a reliable biometric for unconstrained face recognition. (C) 2015 Optical Society of America.

关键词： Face recognition Fiber optic cables Hyperspectral imaging image recognition algorithms Reflectance spectroscopy Retina scanning

来源：评论

学校读者我要写书评

暂无评论

Hyperspectral face recognition based on sparse spectral attention deep neural networks

引用

OPTICS EXPRESS 2020年第24期28卷 36286-36303页

作者： Xie, Zhihua Li, Yi Niu, Jieyi Shi, Ling Wang, Zhipeng Lu, Guoyu Jiangxi Sci & Technol Normal Univ Key Lab Opt Elect & Commun Nanchang 330029 Jiangxi Peoples R China Rochester Inst Technol Chester Carlson Ctr Imaging Sci Rochester NY 14623 USA

Inspired by the robust capability and outstanding performance of convolutional neural networks (CNN) in image classification tasks, CNN-based hyperspectral face recognition methods are worthy of further exploration. However, hyperspectral imaging poses new challenges including high data dimensionality and interference between bands on spectral dimension. High data dimensionality can result in high computational costs. Moreover, not all bands are equally informative and discriminative. The usage of a useless spectral band may even introduce noises and weaken the performance. For the sake of solving those problems, we proposed a novel CNN framework, which adopted a channel-wise attention mechanism and Lasso algorithm to select the optimal spectral bands. The framework is termed as the sparse spectral channel-wise attention-based network (SSCANet) where the SSCA-block focuses on the inter-band channel relationship. Different from other methods which usually select the useful bands manually or in a greedy fashion, SSCA-block can adaptively recalibrate spectral bands by selectively emphasizing informative bands and suppressing less useful ones. Especially, a Lasso constraint strategy can zero out the bands during the training of the network, which can boost the training process by making the weights of bands sparser. Finally, we evaluate the performance of the proposed method in comparison of other state-of-the-art hyperspectral face recognition algorithms on three public datasets HK-PolyU, CMU, and UWA. The experimental results demonstrate that SSCANet based method outperforms the state-of-the-art methods for face recognition on the benchmark. (C) 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

关键词： Face recognition Hyperspectral imaging image recognition algorithms Light intensity Neural networks Spectral imaging

来源：评论

学校读者我要写书评

暂无评论

High-throughput imaging of zebrafish embryos using a linear-CCD-based flow imaging system

引用

BIOMEDICAL OPTICS EXPRESS 2017年第12期8卷 5651-5662页

作者： Liu, Lifeng Yang, Guang Liu, Shoupeng Wang, Linbo Yang, Xinbin Qu, Huiming Liu, Xiaofen Cao, Le Pan, Weijun Li, Hui Nanjing Univ Sci & Technol Sch Elect Engn & Optoelect Technol Nanjing 210094 Jiangsu Peoples R China Chinese Acad Sci Jiangsu Key Lab Med Opt CAS Ctr Excellence Mol Cell Sci Suzhou Inst Biomed Engn & Technol Suzhou 215163 Peoples R China Chinese Acad Sci Shanghai Inst Biol Sci Shanghai 200233 Peoples R China

High-throughput imaging and screening is essential for biomedical research and drag discovery using miniature model organisms such as zebrafish. This study introduces a high-speed imaging system which illuminates zebrafish embryos flowing through a capillary tube with a sheet of light and captures them using a linear charge-coupled device (CCD). This system can image dozens of zebrafish embryos per second. An image algorithm was developed to recognize each embryo and to perform automatic analysis. We distinguished dead and living embryos according to the gray level distribution and conducted statistics of morphological characteristics of embryos at different growing stages. (C) 2017 Optical Society of America

关键词： High speed imaging High speed photography image processing image recognition algorithms Imaging systems Three dimensional imaging

来源：评论

学校读者我要写书评

暂无评论

Classification of water contamination developed by 2-D Gabor wavelet analysis and support vector machine based on fluorescence spectroscopy

引用

OPTICS EXPRESS 2019年第4期27卷 5461-5477页

作者： Huang, P. Mao, T. Yu, Q. Cao, Y. Yu, J. Zhang, G. Hou, D. Zhejiang Univ Coll Control Sci & Engn State Key Lab Ind Control Technol Hangzhou 310027 Zhejiang Peoples R China

The identification of the specific categories of pollutants in the urban water supply system is necessary. Traditional detection methods are based mainly on common water quality indicators. However, inspecting these water quality indicators is made difficult by issues such as long analysis time, insufficient sensitivity, need for reagents, and generation of waste liquid. These problems hinder high-frequency water detection and monitoring. In this study, three-dimensional (3D) fluorescence spectroscopy is adopted as a monitoring method for water quality. An identification method based on two-dimensional (2D) Gabor wavelets and support vector machine (SVM) multi-classification is also proposed. The Delaunay triangulation method for interpolation is used to pre-process 3D fluorescence spectra and thereby eliminate Rayleigh scattering and Raman scattering. A 2D Gabor wavelet function generated by filters of different scales and rotation angles is proposed to extract the features of the spectra. The block statistics method, based on Gabor feature description, is employed to enhance the efficiency in describing spectra features. Then, multiple SVM classifiers are used in pollutant classification and recognition. By comparing the proposed method with principal component analysis, which is a commonly used feature extraction method, this study finds that the application of 2D Gabor wavelets and block statistics can effectively describe the characteristics of 3D fluorescence spectra. Moreover, 2D Gabor wavelets achieve high classification accuracy, especially for substances with closely positioned or overlapping characteristic peaks. (C) 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

关键词： Diffuse reflectance spectroscopy Fluorescence spectroscopy image recognition algorithms Raman scattering Ultraviolet radiation Visible light

来源：评论

学校读者我要写书评

暂无评论

Local-flexible coupling optical-resolution photoacoustic microscopy with enhanced sensitivity

引用

OPTICS LETTERS 2022年第14期47卷 3515-3518页

作者： Li, Dongfang Tao, Chao Hu, Zizhong Zhang, Zhengyu Liu, Xiaojun Nanjing Univ Collaborat Innovat Ctr Adv Microstruct Dept Phys MOE Key Lab Modern Acoust Nanjing 210093 Peoples R China Nanjing Med Univ Dept Ophthalmol Nanjing 210029 Peoples R China

An acoustic coupling scheme largely determines the performance of optical-resolution photoacoustic microscopy (OR-PAM), including practicability, sensitivity, and stability. In this study, we propose OR-PAM based on a local-flexible acoustic coupling scheme, which includes a well-designed combiner connecting a set of circulating systems. The combiner integrates an objective lens and an ultrasonic transducer, controls the water level, restricts the flow rate, and drains bubbles. The circulating system provides sustained and steady flowing water. The flowing water constrained in the combiner and the circulating system forms a flexible and stable local contact between the sample and the transducer. Phantom experiments demonstrate that the proposed method can maintain high optical resolution but improve the detection sensitivity by approximately 1.9 times in comparison to dry coupling. In vivo imaging experiments of the mouse eyeground are conducted to examine the practicability of the proposed system in biomedicine. Moreover, in vivo experiments show that OR-PAM based on local-flexible coupling can reveal more details of eyeground microvasculatures, benefiting from its enhanced sensitivity. These merits promise that OR-PAM based on local-flexible coupling may have broad applications in biomedical fields. (C) 2022 Optica Publishing Group

关键词： image processing image recognition algorithms In vivo imaging Laser energy Medical imaging Three dimensional imaging

来源：评论

学校读者我要写书评

暂无评论

OPTIMUM ENCODING OF BINARY PHASE-ONLY FILTERS WITH A SIMULATED ANNEALING ALGORITHM

引用

OPTICS LETTERS 1989年第11期14卷 545-547页

作者： KIM, MS FELDMAN, MR GUEST, CC Department of Electrical and Computer Engineering University of California San Diego La Jolla California 92093

A simulated annealing algorithm is introduced to encode binary phase-only filters optimally for image recognition. Similar patterns that cannot be distinguished with conventional filter encoding methods are clearly di... 详细信息

关键词： Binary phase only filters Crosstalk Fourier transforms image recognition algorithms Matched filtering Temperature

来源：评论

学校读者我要写书评

暂无评论

Multialgorithmic Hierarchical image Analysis System: Architecture and Analysis Model

引用

PATTERN recognition AND image ANALYSIS 2024年第4期34卷 959-965页

作者： Gurevich, I. B. Yashina, V. V. Russian Acad Sci Fed Res Ctr Comp Sci & Control Moscow 119333 Russia

The article gives a detailed description of one of the basic models of descriptive image analysis, characterizing the architecture and structure of the image recognition process: a multilevel model of image analysis and recognition procedures with joint use of methods for combining algorithms and fragmentary initial data-partial descriptions of the object of analysis and image recognition. The architecture, functional capabilities, limitations, and characteristics of a multilevel model for combining algorithms and initial data in image recognition are substantiated and defined.

关键词： image analysis descriptive image analysis mathematical theory of image analysis automated information extraction from images image recognition descriptive algorithmic schemes models of image analysis procedures image representations image models image recognition algorithms mathematical structures formal systems multialgorithmic classifiers dual image representations

来源：评论

学校读者我要写书评

暂无评论

Ip-norm optimum filters for image recognition. Part II: performance evaluation

引用

Journal of the Optical Society of America A 1999年第9期16卷 2146-2150页

作者： Bahram Javidi Nasser Towghi Department of Electrical and System Engineering University of Connecticut U-157 Storrs Connecticut 06269-3357

We examined the performance of linear and nonlinear processors (filters) for image recognition that are l p -norm optimum in terms of tolerance to input noise and discrimination capabilities. These processors were developed by minimizing the l p norm of the filter output due to the input scene and the output due to the noise. We tested the performance of the l p -norm optimum filters by measuring the average peak-to-sidelobe ratio of the output of the filters for different values of p . We also tested the performance of these filters by placing a target in a scene containing additive noise and a realistic background. For the images presented here, the filters detected the target in the presence of additive noise and a realistic background. The tests conducted show that the discrimination capabilities of the l p -norm filters improve as p decreases ( p > 1 ) . This is shown by sharper peaks at the target location and higher average peak-to-sidelobe ratios for smaller values of p .

关键词： algorithms Fourier transforms image recognition image recognition algorithms Linear filtering Matched filtering

来源：评论

学校读者我要写书评

暂无评论

Optical magnetometry of single NV center scanning local magnetic field in micro fluid devices

Optical magnetometry of single NV center scanning local magn...

引用

Conference on Lasers and Electro-Optics (CLEO)

作者： Lim, Kangmook Shapiro, Benjamin Taylor, Jacob Waks, Edo Univ Maryland Dept Elect & Comp Engn College Pk MD 20742 USA Univ Maryland Inst Res Elect & Appl Phys College Pk MD 20742 USA Univ Maryland Fischell Dept Bioengn College Pk MD 20742 USA Univ Maryland Inst Syst Res College Pk MD 20742 USA Univ Maryland Joint Quantum Inst NIST College Pk MD 20742 USA

By combining magnetic nanoparticle 3D positioning system and NV ESR measurements in micro-fluid device, we demonstrate sensing of magnetic fringe field of a magnetic bead repeatedly displaced and mapping field profile... 详细信息

ISBN: (纸本)9781557529992

关键词： CCD cameras Electric fields image recognition algorithms Magnetic fields Nitrogen vacancy centers Photon counting Zeeman effect (260.7490) Coherent optical effects (270.1670) Quantum detectors (270.5570)

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：