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Automated Visual Inspection and Machine Vision V 2023

作者： Zhang, Yan Notni, Gunther Group for Quality Assurance and Industrial Image Processing Technische Universität Ilmenau Ilmenau Germany Fraunhofer Institute for Applied Optics and Precision Engineering IOF Jena Jena Germany

ISBN: (数字)9781510664562

ISBN: (纸本)9781510664555

In this paper, we introduce an interactive multimodal vision-based robot teaching method. Here, a multimodal 3D image (color (RGB), thermal (T) and point cloud (3D)) was used to capture the temperature, texture and geometry information required to analyze human action. By our method, we only need to move our finger on an object surface, and then the heat traces left by the finger on the object surface will be recorded by the multimodal 3D sensor. By analyzing the multimodal point cloud dynamically, the accurate finger trace on the object is recognized. A robot trajectory is computed using this finger trace. © 2023 SPIE.

关键词： Textures

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3D geometric features based real-time American sign language recognition using PointNet and MLP with MediaPipe hand skeleton detection

3D geometric features based real-time American sign language...

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This paper presents a robust and fast hand gesture recognition method. Utilizing the 21 hand key points predicted by MediaPipe developed by Google, we calculate additional 3D geometric features, including the angles of each finger joint. These geometric features are then subjected to deeper feature extraction using a Multilayer Perceptron (MLP). Simultaneously, these hand key points are normalized in 3D spatial space, and the finger and palm regions are interpolated to generate a point cloud representing the hand skeleton. Subsequently, PointNet is employed for feature extraction from this point cloud. The features extracted by MLP and PointNet are fused, and a classifier is employed to output the probability distribution of hand gestures for each frame of a 3D video stream. Furthermore, a probability machine is designed to analyze the probability sequence, providing the overall gesture prediction. In the experimental phase, we trained a model to classify American Sign Language (English letters and numbers 0 to 9). The results demonstrate an overall accuracy of 99.81 %. The entire method operates in less than 10 milliseconds (using an NVIDIA 2080Ti graphics card), showcasing its real-time detection capabilities. © 2024

关键词： ASL recognition Hand gesture Human recognition Human robot interaction Multimodal imaging Point cloud processing

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A review of different multispectral indices for monitoring plant health in mid-mountain sites 10

A review of different multispectral indices for monitoring p...

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image Sensing Technologies: Materials, Devices, Systems, and Applications X 2023

作者： Richter, Martin Rosenberger, Maik Meister, Janek Illmann, Raik Notni, Gunther Technische Universität Ilmenau Department of Mechanical Engineering Group for Quality Assurance and Industrial Image Processing Ilmenau Germany Fraunhofer Institute for Applied Optics and Precision Engineering IOF Jena Germany

ISBN: (数字)9781510661431

ISBN: (纸本)9781510661424

The effects of climate change, such as drought and pest infestation, will pose new challenges for forest management in the coming years to ensure the preservation of biodiversity and vegetation balance. A combination of various sensor technologies enables early detection of changes and initiation of necessary mitigation steps. Here, hyperspectral cameras provide direct measurement of the health status on the plants themselves. The achievable spatial and spectral resolutions have been steadily increasing due to the use of drones instead of airplanes and satellites. Nevertheless, only canopy measurement is possible in this case. The measurement below the tree canopy can grant new insights and increase the resolution up to the level of the leaf. The aim of this work is to define the basic requirements for a spectral system suitable for this purpose. For these high-resolution spectral images of typical plants of the mid-mountain range during desiccation were acquired. On the basis of these, various vegetation indices were calculated and the influence of filter properties such as the half-width were simulated. During this investigation, a clear reaction to desiccation was observed in all samples after a brief period of time. Different vegetation indices show a comparable behavior despite the application of different wavelengths. © 2023 SPIE.

关键词： Forestry

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A novel vegetation index for the detection and age determination of tree resin

A novel vegetation index for the detection and age determina...

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作者： Richter, Martin Rosenberger, Maik Notni, Gunther Technische Universität Ilmenau Department of Mechanical Engineering Group for Quality Assurance and Industrial Image Processing Ilmenau Germany Fraunhofer Institute for Applied Optics and Precision Engineering IOF Jena Germany

In this work, we analysed the reflectance spectrum of spruce trees with the aim of deriving an index based on the NDVI principle that allows easy and fast identification of tree resin on and around spruce trees. The proposed normalized resin difference index uses a wavelength of 1688 nm in combination with either 1093 nm, 1138 nm or 1282 nm to reliably distinguish resin traces from bark and moss. Based on the initial experiments, the proposed index may be promising to be used as an indicator of the age of the resin. © 2024

关键词： Forest management Hyperspectral imaging Vegetation index

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3D geometric features based real-time American sign language recognition using PointNet and MLP with MediaPipe hand skeleton detection

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Measurement: Sensors 2025年 38卷

关键词： Human robot interaction

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Design and implementation of a tunable crystal-heater for spectral variation of entangled non-degenerate photon pairs generated by spontaneous parametric down-conversion

Design and implementation of a tunable crystal-heater for sp...

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Photonics for Quantum 2023

作者： Horn, Robin Fütterer, Richard Rosenberger, Maik Notni, Gunther Technische Universität Ilmenau Faculty of Mechanical Engineering Group for Quality Assurance and Industrial Image Processing Gustav-Kirchhoff-Platz 2 Ilmenau98693 Germany Fraunhofer Institute for Applied Optics and Precision Engineering IOF Albert-Einstein-Straße 7 Jena07745 Germany

ISBN: (数字)9781510664760

ISBN: (纸本)9781510664753

Efficient entangled photon pair sources are the main component for several applications based on quantum imaging. Specifically for ghost imaging, different wavelengths of signal (imaging photons) and idler (interaction with the object) photons are desired. An efficient and narrowband generation of entangled photons exploiting spontaneous parametric down-conversion using periodically poled (pp) nonlinear crystals is therefore a fundamental preliminary requirement to achieve (the process of) ghost imaging. This work presents the design and implementation of a precise and efficient crystalheater as a variable photon pair source and compares the achieved experimental values of the SPDC-wavelengths with theoretical calculations. A periodically poled nonlinear crystal from potassium titanyl phosphate (ppKTP) can generate various non-degenerate wavelengths from a pump radiation of 405 nm by temperature changes and satisfaction of energy conservation and quasi-phase-matching conditions. For this purpose, the crystal is securely housed in a custom-built mechanical mount. A computation and adjustment of various control parameters, as well as a precise determination of the current temperature via two temperature sensors allow the heater to set the target temperature with an accuracy of 0.1 °C±0.015 °C. A method for the theoretical determination of the temperature-dependent shift of the nondegenerate wavelengths, provides a foundation from which experimental verification of achievable wavelengths and intensities can be compared. By experimental verification, the efficiency and functionality of the photon pair source and SPDC-process is verified. These presented investigations and the design of the crystal-heater provide the basis for a precise and effective photon pair source, for subsequent studies in the field of ghost imaging. © 2023 SPIE.

关键词： Photons

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Potential of full-colour 3d-printing in multisensual education

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Measurement: Sensors 2025年 38卷

作者： Hollmann, Benedikt Junger, Christina Notni, Gunther Technische Universität Ilmenau Department of Mechanical Engineering Group for Quality Assurance and Industrial Image Processing Ilmenau Germany Fraunhofer Institute for Applied Optics and Precision Engineering Jena Germany

Our Study investigates the potential of integrating tactile elements into educational materials using a specialized 3D printer, the XYZprinting Da Vinci Color. We are examining its effectiveness in professional learning environments. Additionally, we are exploring various methods such as scanning and modelling to create tactile-friendly print models. Well compile a comprehensive guide on utilizing the printer and these methods, which will streamline future research and application. Our findings indicate that while the printer can produce high-quality models, it also has limitations. Also, the effort needed to create printable and coloured models is strongly dependent on the use case. © 2024

关键词： 3D modeling

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A Novel Diagnostic Model for Early Detection of Alzheimer’s Disease Based on Clinical and Neuroimaging Features 11th

A Novel Diagnostic Model for Early Detection of Alzheimer’s...

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11th International Conference on Model and Data Engineering, MEDI 2022

作者： Gad, Eyad Gamal, Aya Elattar, Mustafa Selim, Sahar School of Engineering and Applied Sciences Nile University Giza Egypt Medical Imaging and Image Processing Research Group Center for Informatics Science Nile University Giza Egypt School of Information Technology and Computer Science Nile University Giza Egypt

ISBN: (纸本)9783031215940

Alzheimer’s Disease (AD) is a dangerous disease that is known for its characteristics of eroding memory and destroying the brain. The classification of Alzheimer's disease is an important topic that has recently been addressed by many studies using Machine Learning (ML) and Deep Learning (DL) methods. Most research papers tackling early diagnosis of AD use these methods as a feature extractor for neuroimaging data. In our research paper, the proposed algorithm is to optimize the performance of the prediction of early diagnosis from the multimodal dataset by a multi-step framework that uses a Deep Neural Network (DNN) as an optimization technique to extract features and train these features by Random Forest (RF) classifier. The results of the proposed algorithm showed that using only demographic and clinical data results in a balanced accuracy of 88% and an area under the curve (AUC) of 94.6. Ultimately, combining clinical and neuroimaging features, prediction results improved further to a balanced accuracy of 92% and an AUC of 97%. This study successfully outperformed other studies for both clinical and the combination of clinical and neuroimaging data, proving that multimodal data is efficient in the early diagnosis of AD. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Neuroimaging

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A novel vegetation index for the detection and age determination of tree resin

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Measurement: Sensors 2024年 38卷

关键词： Miocene

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FPGA-based multi-view stereo system with flexible measurement setup

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Measurement: Sensors 2022年 24卷

作者： Junger, Christina Fütterer, Richard Rosenberger, Maik Notni, Gunther Technische Universität Ilmenau Department of Mechanical Engineering Group for Quality Assurance and Industrial Image Processing Ilmenau Germany Fraunhofer Institute for Applied Optics and Precision Engineering Jena Germany

In recent years, stereoscopic image processing algorithms have gained importance for a variety of applications. To capture larger measurement volumes, multiple stereo systems are combined into a multi-view stereo (MVS) system. To reduce the amount of data and the data rate, calculation steps close to the sensors are outsourced to Field Programmable Gate Arrays (FPGAs) as upstream computing units. The calculation steps include lens distortion correction, rectification and stereo matching. In this paper a FPGA-based MVS system with flexible camera arrangement and partly overlapping field of view is presented. The system consists of four FPGA-based passive stereoscopic systems (Xilinx Zynq-7000 7020 SoC, EV76C570 CMOS sensor) and a downstream processing unit (Zynq Ultrascale ZU9EG SoC). This synchronizes the sensor near processing modules and receives the disparity maps with corresponding left camera image via HDMI. The subsequent computing unit calculates a coherent 3D point cloud. Our developed FPGA-based 3D measurement system captures a large measurement volume at 24 fps by combining a multiple view with eight cameras (using Semi-Global Matching for an image size of 640 px × 460 px, up to 256 px disparity range and with aggregated costs over 4 directions). The capabilities and limitation of the system are shown by an application example with optical non-cooperative surface. © 2022 The Authors

关键词： System-on-chip

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