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[Foreword] Welcome to the Special Section on Advanced Image Sensor Technology 【前言】欢迎来到高级图像传感器技术专区
IF 1.1 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2021-01-01 DOI: 10.3169/MTA.9.113
J. Akita
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引用次数: 1
[Paper] Development of System to Classify Speckle Images for Visual Inspection of Cutlery [论文]餐具视觉检测中散斑图像分类系统的开发
IF 1.1 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2021-01-01 DOI: 10.3169/mta.9.169
Tadaaki Isobe, Y. Takimoto, Ryosuke Harakawa, M. Iwahashi
This paper develops a system to visually inspect cutlery based on a simple machine learning algorithm using image features that are robust against overexposure. First, we develop an image acquisition apparatus comprising a laser and a screen that produces speckle images of unique shapes depending on the degree to which the photographed cutlery has been polished. The contribution of this study is to produce speckle images in this way. This enables accurate classification without newly deriving a sophisticated machine learning algorithm in the subsequent processing. We use the speckle images to develop moment-related features that represent the unique shapes and avoid the problem of overexposure. Second, we apply the extreme learning machine, a simple but representative machine learning algorithm, to the obtained features. Experimental results using real cutlery show that our developed system achieved good accuracy and precision regardless of exposure time.
本文开发了一种基于简单机器学习算法的视觉检测刀具的系统,该算法使用了抗过度曝光的图像特征。首先,我们开发了一种图像采集设备,该设备由激光和屏幕组成,该设备根据拍摄餐具的抛光程度产生独特形状的斑点图像。本研究的贡献在于以这种方式产生散斑图像。这使得准确的分类,而不需要在后续处理中新导出复杂的机器学习算法。我们使用散斑图像来开发与矩相关的特征,这些特征代表独特的形状,并避免过度曝光的问题。其次,我们将一种简单但具有代表性的机器学习算法——极限学习机(extreme learning machine)应用于得到的特征。实验结果表明,该系统在不影响曝光时间的情况下,具有良好的准确度和精密度。
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引用次数: 0
[Paper] Sports Camera Calibration using Flexible Intersection Selection and Refinement [论文]基于柔性交叉口选择与细化的运动摄像机标定
IF 1.1 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2021-01-01 DOI: 10.3169/mta.9.95
Hiroki Tsurusaki, Keisuke Nonaka, R. Watanabe, Tomoaki Konno, S. Naito
Sports scene analysis is an important technology to quantify a player’s action and visualize game statistics. To realize such technology, camera calibration is required to recognize the player’s position from a video. In this paper, we propose an automatic camera calibration method by using intersection resorting and refinement. Our contributions are 1) flexible intersection selection and 2) intersection refinement to improve accuracy in calibration. A homography matrix is used to convert world coordinates to image coordinates for the calibration. Sports scenes can be estimated by using a priori information such as length and position of field lines and their intersections. Conventional methods using the field lines and intersections cannot realize sufficient calibration accuracy because the intersections are selected from the combination of horizontal and vertical lines. Moreover, displacement at the intersections occurs between the detected position and a real one on the input image. Our proposed method can solve these problems by flexible intersection selection and refinement. As a result, a player’s position in the real world is identified from the video by using the estimated homography matrix. Our experimental results show that the proposed method achieves higher accuracy than that by conventional methods.
体育场景分析是一项量化运动员动作和可视化比赛数据的重要技术。为了实现这种技术,需要对摄像机进行校准,以便从视频中识别玩家的位置。本文提出了一种基于交点求助和求精的摄像机自动标定方法。我们的贡献是1)灵活的交叉点选择和2)交叉点精化以提高校准精度。使用单应矩阵将世界坐标转换为图像坐标进行校准。利用场线的长度、位置及其交点等先验信息,可以对运动场景进行估计。传统的利用场线和交点的方法,由于交点是水平线和垂直线的组合,无法实现足够的标定精度。此外,在检测位置和输入图像上的真实位置之间的交叉处发生位移。该方法可以通过灵活的交叉口选择和细化来解决这些问题。因此,玩家在现实世界中的位置是通过使用估计的同形矩阵从视频中识别出来的。实验结果表明,该方法比传统方法具有更高的精度。
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引用次数: 4
[Paper] Design of Anisotropic Light-diffusing Film for Rotational Use of Reflective Displays [论文]用于旋转反射显示器的各向异性光扩散膜的设计
IF 1.1 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2021-01-01 DOI: 10.3169/mta.9.210
Kentaro Kusama, T. Ishinabe, B. Katagiri, H. Fujikake
changes; however, if the diffusion area is too wide, the overall brightness will be reduced and the image will be blurred. Therefore, we optimized the diffuse reflection characteristics while taking into account lowering Abstract We examined anisotropic light-diffusing films for reflective displays to realize a wide viewing angle for a rotating screen such as a tablet. By orthogonally laminating 60-µm-thick anisotropic light diffusing films having bent columnar structure, we were able to demonstrate uniform diffuse reflection characteristics for a point light source polar angle of 30° from various azimuth angles. Then, we showed that image blur could be suppressed by narrowing the gap between the reflector and the diffusing layer, such as by grinding the top cell glass.
变更;但是,如果扩散区域太宽,则会降低整体亮度,使图像模糊。摘要本文研究了用于反射显示器的各向异性光扩散薄膜,以实现平板电脑等旋转屏幕的宽视角。通过正交层合60 μ m厚的弯曲柱状结构各向异性光漫反射膜,我们能够在不同方位角的点光源极角为30°时证明均匀的漫反射特性。然后,我们发现可以通过缩小反射器和漫射层之间的间隙来抑制图像模糊,例如通过研磨顶部电池玻璃。
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引用次数: 1
[Paper] Spatial Uniformity Improvement at Low Luminance Levels for Organic Light-Emitting Diode Displays [论文]低亮度下有机发光二极管显示空间均匀性的改进
IF 1.1 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2021-01-01 DOI: 10.3169/mta.9.234
T. Okada, T. Usui, Y. Nakajima
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引用次数: 0
[Paper] Multimodal Stress Estimation Using Multibiological Information: Towards More Accurate and Detailed Stress Estimation [论文]基于多生物信息的多模态应力估计:迈向更精确和详细的应力估计
IF 1.1 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2021-01-01 DOI: 10.3169/mta.9.276
Takumi Nagasawa, Ryo Takahashi, Keiko Ogawa-Ochiai, N. Tsumura
stress estimation methods using camera have been investigated, which involve capturing biological information in the form of facial and skin videos. Specific biological information that can be Abstract In this paper, we propose a method for estimating stress levels using multibiological information obtained from red-green-blue (RGB) facial videos. The most popular method for estimating stress is by questionnaire, which is not highly objective or accurate. To estimate stress levels more accurately, it is desirable to establish the method which can estimate with objective and accurate information. In recent years, many methods for using biological information have been proposed. In this study, we used three types of biological information to estimate stress: pulse rate variability, blink rate, and pupil size, which were captured using an RGB camera. Results showed that the use of these biological signals improved the accuracy of stress estimation. Moreover, using biological information in a multimodal manner enabled the most accurate and detailed stress estimation.
研究了使用相机的应力估计方法,其中包括以面部和皮肤视频的形式捕获生物信息。在本文中,我们提出了一种利用从红绿蓝(RGB)面部视频中获得的多生物信息来估计应激水平的方法。评估压力最常用的方法是问卷调查,这种方法既不客观也不准确。为了更准确地估计应力水平,需要建立客观准确的信息估计方法。近年来,人们提出了许多利用生物信息的方法。在这项研究中,我们使用了三种类型的生物信息来估计压力:脉冲速率变异性、眨眼频率和瞳孔大小,这些信息是用RGB相机捕获的。结果表明,这些生物信号的使用提高了应力估计的准确性。此外,以多模态方式使用生物信息可以进行最准确和详细的应力估计。
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引用次数: 0
[Paper] Polarized Photoluminescence Characteristics of Uniaxially-Aligned Fluorescent Dye with Liquid Crystalline Polymer for Agricultural Applications [论文]农业用液晶聚合物单轴定向荧光染料的偏振光致发光特性
IF 1.1 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2021-01-01 DOI: 10.3169/mta.9.203
Y. Shibata, R. Tsunaki, T. Ishinabe, H. Fujikake
For photosynthesis promotion in the field of agriculture, we report on solution-processed molecular alignment control of organic fluorescent dye using guest-host effect and photo-polymerization reaction in this paper. We investigated the relation between molecular conformation and polarized photoluminescence characteristics in dye/polymer blend films. As the result, we observed polarized photoluminescence with reduction of concentration quenching effect and disordered region of dye molecules. We discussed the solution process and materials for highly-ordered solid-state films using liquid crystalline monomer and fluorescent dye.
为了促进农业光合作用,本文报道了利用主客体效应和光聚合反应控制有机荧光染料溶液加工分子定位的研究进展。研究了染料/聚合物共混膜分子构象与极化光致发光特性的关系。结果表明,极化光致发光降低了浓度猝灭效应和染料分子的无序区。讨论了用液晶单体和荧光染料制备高有序固态薄膜的工艺和材料。
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引用次数: 0
[Foreword] Welcome to the Special Section on Data Storage and Related Technologies 【前言】欢迎来到数据存储及相关技术专区
IF 1.1 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2021-01-01 DOI: 10.3169/mta.9.143
Y. Kawata
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引用次数: 0
[Paper] Spatial Filter and Combination of Angle and Peristrophic Multiplexings to Achieve Recording Density of 1 Tbit/inch2 in Holographic Data Storage [论文]全息数据存储中空间滤波与角转复用组合实现1 Tbit/inch2的记录密度
IF 1.1 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2021-01-01 DOI: 10.3169/mta.9.153
Tetsuhiko Muroi, Yutaro Katano, N. Kinoshita, Ishii Norihiko
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引用次数: 1
[Paper] Efficient Decoding Method for Holographic Data Storage Combining Convolutional Neural Network and Spatially Coupled Low-Density Parity-Check Code [论文]结合卷积神经网络和空间耦合低密度奇偶校验码的全息数据存储高效解码方法
IF 1.1 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2021-01-01 DOI: 10.3169/mta.9.161
Yutaro Katano, Teruyoshi Nobukawa, Tetsuhiko Muroi, N. Kinoshita, Ishii Norihiko
LDPC (SC-LDPC) code 15) is one of the strongest error correction codes that approaches the Shannon limit, based on the LDPC code 16) . We confirmed that the capability of error correction of the SC-LDPC code outperforms that of the LDPC code in the HDS 17) . This study presents an effective data-decoding method by combining the CNN demodulation and SC-LDPC code to enable a more powerful error correction by using the likelihood information obtained as the output from the CNN. We evaluated the characteristics of the demodulation and error correction method using the reproduced data with numerically added noise. Abstract In this study, we propose an effective data-decoding method for holographic data storage (HDS) by combining convolutional neural network (CNN) and spatially coupled low-density parity-check (SC-LDPC) code. The trained CNN provides output class probabilities and accurately demodulates the reproduced data from HDS. We focus on these probabilities, wherein only the untrainable noise components such as white Gaussian noise remain. These are used for calculating the log likelihood ratio in the sum-product decoding for the SC-LDPC code. We demonstrate an improvement of approximately 10 dB in the required signal-to-noise ratio for an error-free decoding in numerical simulations.
LDPC (SC-LDPC)码15)是基于LDPC码16的接近香农极限的最强纠错码之一。我们证实SC-LDPC码的纠错能力优于HDS中的LDPC码(17)。本研究提出了一种有效的数据解码方法,将CNN解调与SC-LDPC编码相结合,利用CNN的输出获得的似然信息进行更强大的纠错。利用数值加噪的再现数据,评价了解调和误差校正方法的特性。本文提出了一种将卷积神经网络(CNN)与空间耦合低密度奇偶校验(SC-LDPC)码相结合的全息数据存储(HDS)的有效数据解码方法。训练后的CNN提供输出类概率,并准确解调来自HDS的再现数据。我们关注这些概率,其中只有不可训练的噪声成分,如高斯白噪声仍然存在。这些用于计算SC-LDPC码的和积解码中的对数似然比。我们在数值模拟中证明了在无错误解码所需的信噪比中提高了大约10 dB。
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引用次数: 3
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ITE Transactions on Media Technology and Applications
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