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Multidimensional image morphing-fast image-based rendering of open 3D and VR environments

虚拟现实与智能硬件(中英文) 2025年第2期7卷 155-172页

作者： Simon SEIBT Bastian KUTH Bartosz von Rymon LIPINSKI Thomas CHANG Marc Erich LATOSCHIK Game Tech Laboratory Faculty of Computer ScienceNuremberg Institute of TechnologyNuremberg 90489Germany Department of Electrical Engineering and Computer Science Coburg University of Applied Sciences and ArtsCoburg 96450Germany Human-Computer Interaction Group Institute of Computer ScienceUniversity of WuerzburgWuerzburg 97074Germany

Background In recent years,the demand for interactive photorealistic three-dimensional(3D)environments has increased in various fields,including architecture,engineering,and ***,achieving a balance between the quality and efficiency of high-performance 3D applications and virtual reality(VR)remains *** This study addresses this issue by revisiting and extending view interpolation for image-based rendering(IBR),which enables the exploration of spacious open environments in 3D and ***,we introduce multimorphing,a novel rendering method based on the spatial data structure of 2D image patches,called the image *** this approach,novel views can be rendered with up to six degrees of freedom using only a sparse set of *** rendering process does not require 3D reconstruction of the geometry or per-pixel depth information,and all relevant data for the output are extracted from the local morphing cells of the image *** detection of parallax image regions during preprocessing reduces rendering artifacts by extrapolating image patches from adjacent cells in *** addition,a GPU-based solution was presented to resolve exposure inconsistencies within a dataset,enabling seamless transitions of brightness when moving between areas with varying light *** Experiments on multiple real-world and synthetic scenes demonstrate that the presented method achieves high"VR-compatible"frame rates,even on mid-range and legacy hardware,*** achieving adequate visual quality even for sparse datasets,it outperforms other IBR and current neural rendering *** Using the correspondence-based decomposition of input images into morphing cells of 2D image patches,multidimensional image morphing provides high-performance novel view generation,supporting open 3D and VR ***,the handling of morphing artifacts in the parallax image regions remains a topic for future resea

关键词： computer graphics 3D real-time rendering computer vision Image morphing Virtual reality

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Merging Realities: Exploring Mixed Reality as a Research Tool for Human-Robot Interaction in Real-World Settings 7

Merging Realities: Exploring Mixed Reality as a Research Too...

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7th IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality, AIxVR 2025

作者： Schulten, Jan Helgert, André Arntz, Alexander Straßmann, Carolin Eimler, Sabrina C. Institute of Computer Science Ruhr West University of Applied Sciences Bottrop Germany

ISBN: (纸本)9798331521578

The application of Virtual Reality (VR) in Human-Robot Interaction (HRI) research is growing due to its capacity to create adaptable yet controlled study environments. While VR often achieves data validity comparable to real-world studies, it faces limitations when physical interaction with robots is required. Mixed Reality (MR) offers a potential solution by enabling interactions with virtual robots in real-world settings, allowing participants to engage with realistic, interactive simulations that adapt to physical environments. Given the limited use of MR in HRI studies and the need for further understanding of its effectiveness in generating transferable results, this study examines MR's potential as a tool for simulating social-robot interaction. We conducted a study involving 21 participants interacting with a virtual robot performing navigation tasks in a real library and assessed self-efficacy, presence, technology acceptance, perceived realism, and social characteristics of the robot. The results show that most participants perceived the interaction with the robot as successful, the engagement was high and the robot interaction with MR provided excellent usability. These results suggest that MR has potential as a research and training tool for simulating human-robot interaction in navigation tasks within public spaces. © 2025 IEEE.

关键词： Virtual environments

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Data driven analysis of particulate systems for development of reliable model to determine drag coefficient of non-spherical particles

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Particuology 2025年第2期97卷 219-235页

作者： Tauseeq Hussain Atta Ullah Rehan Zubair Khalid Farooq Ahmad Fei Li Asifullah Khan Department of Chemical Engineering Pakistan Institute of Engineering and Applied SciencesIslamabad45650Pakistan PIEAS Artificial Intelligence Center Pakistan Institute of Engineering and Applied SciencesNiloreIslamabad45650Pakistan Department of Chemical and Materials Engineering College of EngineeringNorthern Border UniversityArarSaudi Arabia Institute of Process Engineering Chinese Academy of SciencesBeijingChina Pattern Recognition Lab Department of Computer and Information SciencesPakistan Institute of Engineering and Applied SciencesNiloreIslamabad45650Pakistan

Non-spherical particles are extensively encountered in the process industry such as feedstock or catalysts e.g.,energy,food,pharmaceuticals,and *** design of equipment used to process these particles is highly dependent upon the accurate and reliable modeling of hydrodynamics of particulate media *** coefficient of these particles is the most significant of all parameters.A universal model to predict the drag coefficient of such particles has not yet been developed due to the diversity and complexity of particle shapes and *** this into consideration,we propose a unique approach to model the drag coefficient of non-spherical particles using machine learning(ML)to move towards generalization.A comprehensive database of approximately five thousand data points from reliable experiments and high-resolution simulations was compiled,covering a wide range of *** drag coefficient was modeled as a function of Reynolds number,sphericity,Corey Shape Factor,aspect ratio,volume fraction,and angle of *** ML techniques—Artificial Neural Networks,Random Forest,and AdaBoost—were used to train the *** models demonstrated strong generalization when tested on unseen ***,AdaBoost outperformed the others with the lowest MAPE(20.1%)and MRD(0.069).Additional analysis on excluded data confirmed the robust predictive abilities and generalization of the proposed *** models were also evaluated across three flow regimes—Stokes,transitional,and turbulent—to further assess their generalization.A comparative analysis with well-known empirical correlations,such as Haider and Levenspiel and Chien,showed that all ML models outperformed traditional approaches,with AdaBoost achieving the best *** current work demonstrates that new generated ML techniques can be reliably used to predict drag coefficient of non-spherical particles paving way towards generalization of ML approach.

关键词： Drag coefficient Non-spherical Neural network Random forest AdaBoost

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RNNDRP: Developing Recurrent Neural Network Based Anticancer Drug Response Prediction Model 21

RNNDRP: Developing Recurrent Neural Network Based Anticancer...

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21st International Bhurban Conference on applied sciences and Technology, IBCAST 2024

作者： Zaidi, Awais Raza Majid, Abdul Bilal, Muhammad Pakistan Institute of Engineering & Applied Sciences Department of Computer & Information Sciences Islamabad Pakistan

ISBN: (纸本)9798331516680

Due to the devastating nature of the cancer disease, patients have a high death rate in the worlde. For this purpose, pharmacologists, medical scientists, and biologists are making collaborating efforts to efficient medications for the treatment of cancer. In the past, all cancer types were treated with the same approach in a one-size-fits-all manner. In this research, we present Recurrent Neural Network-based Prediction Model (RNNDRP) that accurately predicts drug sensitivity on cell lines data of cancerous patients using GDSC dataset for training and testing. Our prediction model accurately predicts minimal inhibitory concentration (IC50) for various drugs. Our RNNDRP model has obtained the RMSE and R2 scores of 0.814 and 0.875, respectively. The performance has shown to be better than existing state of the art models developed for drug sensitivity. These improved results validated the model's potency due to hybrid features in addressing the problem of anticancer drug response prediction. The proposed model results might reduce the cost and time elapsed on lab tests for cancer treatment. © 2024 IEEE.

关键词： Prediction models

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A Secure Framework for WSN-IoT Using Deep Learning for Enhanced Intrusion Detection

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computers, Materials & Continua 2024年第10期81卷 471-501页

作者： Chandraumakantham Om Kumar Sudhakaran Gajendran Suguna Marappan Mohammed Zakariah Abdulaziz S.Almazyad School of Computer Science&Engineering Vellore Institute of TechnologyChennai CampusChennai600127India School of Electronics&Engineering Vellore Institute of TechnologyChennai CampusChennai600127India Department of Computer Sciences and Engineering College of Applied ScienceKing Saud UniversityRiyadh11543Saudi Arabia Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia

The security of the wireless sensor network-Internet of Things(WSN-IoT)network is more challenging due to its randomness and self-organized *** detection is one of the key methodologies utilized to ensure the security of the *** intrusion detection mechanisms have issues such as higher misclassification rates,increased model complexity,insignificant feature extraction,increased training time,increased run time complexity,computation overhead,failure to identify new attacks,increased energy consumption,and a variety of other factors that limit the performance of the intrusion system *** this research a security framework for WSN-IoT,through a deep learning technique is introduced using Modified Fuzzy-Adaptive DenseNet(MF_AdaDenseNet)and is benchmarked with datasets like NSL-KDD,UNSWNB15,CIDDS-001,Edge IIoT,Bot *** this,the optimal feature selection using Capturing Dingo Optimization(CDO)is devised to acquire relevant features by removing redundant *** proposed MF_AdaDenseNet intrusion detection model offers significant benefits by utilizing optimal feature selection with the CDO *** results in enhanced Detection Capacity with minimal computation complexity,as well as a reduction in False Alarm Rate(FAR)due to the consideration of classification error in the fitness *** a result,the combined CDO-based feature selection and MF_AdaDenseNet intrusion detection mechanism outperform other state-of-the-art techniques,achieving maximal Detection Capacity,precision,recall,and F-Measure of 99.46%,99.54%,99.91%,and 99.68%,respectively,along with minimal FAR and Mean Absolute Error(MAE)of 0.9%and 0.11.

关键词： Deep learning intrusion detection fuzzy rules feature selection false alarm rate accuracy wireless sensor networks

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Spectral optimization and influence of noise for spectrometer free areal chromatic confocal metrology 11

Spectral optimization and influence of noise for spectromete...

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Photonic Instrumentation Engineering XI 2024

作者： Lochbrunner, Jonas Prause, Korbinian Büttner, Johannes Layh, Michael Laboratory for Optical 3D Metrology and Computer Vision University of Applied Sciences Kempten Kempten87435 Germany

ISBN: (纸本)9781510670464

The spectrometer-free chromatic confocal measurement technique enables 3D surface measurements with just one exposure and without scanning. To reduce the need for a spectrometer for the spectral analysis of the reflected light composition and thus the extraction of the local surface height, an optical spectral analysis unit is used. This unit determines the first momentum of the spectral composition reflected from the surface under probe for a large number of lateral measurement points simultaneously. This work investigates the impact of the spectral composition and light power of the light source on the sensitivity and accuracy of this method. A thorough optimization of the light source will be conducted, demonstrating the impact of various spectral compositions and light source power on the system performance, taking into account the system-related etendue. In addition, the optimization of the spectral transmission filter used in the optical spectral analysis unit and its influence on the accuracy and sensitivity of the system over the entire measurement range is shown. © 2024 SPIE.

关键词： Spectrometers

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Advantages and limits of spectrometer free areal chromatic confocal metrology 11

Advantages and limits of spectrometer free areal chromatic c...

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Photonic Instrumentation Engineering XI 2024

作者： Büttner, Johannes Prause, Korbinian Layh, Michael Laboratory for Optical 3D Metrology and Computer Vision University of Applied Sciences Kempten Kempten87435 Germany

ISBN: (纸本)9781510670464

The spectrometer free areal chromatic confocal metrology (ChromaCAM) is an optical 3D surface measurement technology, which allows a simultaneous measurement of a large array of measuring points within a single exposure. In this work, we investigate the accuracy of a first prototype sensor system utilizing this new single-shot 3D measurement technique. It is found that surface height measurement errors smaller 1µm within a total measurement range of about 1000 µm are achievable. Furthermore, several influential factors are investigated showing the advantages and limits of the presented system. Investigating different surface materials it is found that frame rates up to approximately 800 fps for highly reflecting surfaces and up to 30 fps for ceramics, aluminum, and plastics are achievable. © 2024 SPIE.

关键词： Surface measurement

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Development and Evaluation of a Framework for the Design and Management of Blockchain-Based Process Chains in a Circular Economy 6th

Development and Evaluation of a Framework for the Desig...

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6th International Congress on Blockchain and Applications, BLOCKCHAIN 2024

作者： Schmidt, Lambert Jansen, Marc Institute of Computer Science University of Applied Sciences Ruhr West Bottrop46236 Germany

ISBN: (纸本)9783031819278

This research aims to develop and evaluate a framework to handle smart contracts that facilitates and enhances circular economy procedures by utilizing smart contracts to enhance transparency, efficiency, and traceability in supply and recycling chains. The framework simplifies blockchain engagement by enabling the creation, visualization, alteration, and deployment of smart contracts and decentralized applications (dApps). Designed to support users with limited blockchain experience, it offers tools that allow for interactive manipulation of visual models and direct data input. A survey was conducted among experts and people from the circular economy sector to see if the framework would be helpful in interacting with smart contracts. The findings indicate that the framework significantly enhances the level of confidence and proficiency of users in handling smart contracts, and has the potential to aid in achieving the circular economy objectives. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Circular economy

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Virtual Reality for Tinnitus Education: Inspiring Awareness and Proactive Behavioral Changes 6

Virtual Reality for Tinnitus Education: Inspiring Awareness ...

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6th IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality, AIxVR 2024

作者： Heilmann, Dan Helgert, Andre Eimler, Sabrina C. University of Applied Sciences Ruhr West Institute of Computer Science Bottrop Germany

ISBN: (纸本)9798350372021

Tinnitus is a prevalent symptom in otorhinolaryngology affecting a substantial portion of the population. Factors contributing to tinnitus include acoustic stress, sensory overload, and neurological and psychological disturbances. Although associated comorbidities can be treated, tinnitus lacks a definitive cure. Consequently, preventive measures and awareness about its consequences are crucial. Virtual Reality (VR) emerges as a potential tool for assistance as it offers (often appealing) immersive simulations, combining visual and auditory perceptual inputs supporting a feeling of being in a real physical environment. As it could help to effectively recreate the experience of tinnitus in everyday situations, VR may facilitate a deep sense of empathy and comprehension. As a first step in designing the application, a pre-study collected scenarios among people (N = 32) with tinnitus symptoms. These were subsequently implemented in the VR application and evaluated by students (N = 22) without tinnitus symptoms. The application aims to recreate distressing scenarios, to elicit empathy and educate unaffected individuals. © 2024 IEEE.

关键词： Virtual reality

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Enhancing Human-Robot Interaction Research by Using a Virtual Reality Lab Approach 6

Enhancing Human-Robot Interaction Research by Using a Virtua...

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6th IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality, AIxVR 2024

作者： Arntz, Alexander Helgert, Andre Strasmann, Carolin Eimler, Sabrina C. University of Applied Sciences Ruhr Institute of Computer Science West Bottrop Germany

ISBN: (纸本)9798350372021

Human-robot interaction (HRI) research often faces limitations in real-world environments due to uncontrollable external factors. This applies in particular to field study setups in public spaces, as these can limit the validity of the study results, e.g. due to unpredictable and unsystematic changes in the environment, noise, people passing, etc. Especially for interdisciplinary studies involving psychological perspectives, virtual reality (VR) has emerged as a promising solution, offering realistic, controlled, and reproducible environments. Also, recent technological advancements enable detailed observation of human behavior and physiological responses via eye tracking, physiological assessments, and motion capture. To effectively add value by using VR as a tool, immersion, and presence in the virtual environment are essential preconditions. Besides, the manipulability of the VR environment during runtime is a bonus in exploring human behavior in interaction with robot-enriched spaces. As a methodological innovation in HRI studies, this paper presents a VR lab as a research tool that provides a virtual model of the robot Pepper along with interfaces for easy navigation and adaptive robot behavior. Moreover, the presented Wizard of Oz dashboard allows to flexibly react to the scenery by allowing the manipulation of several robot parameters during runtime. With the help of the VR lab, a framework for a variety of interdisciplinary research purposes in human-robot interaction (not only) in public spaces is provided. © 2024 IEEE.

关键词： Human robot interaction

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