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Computational Optical Sensing and Imaging, COSI 2024 - Part of Optica Imaging Congress

作者： Aquilina, Matthias Sola, Alex Vicente Kirkland, Paul Lyons, Ashley Extreme Light Group Advanced Research Centre University of Glasgow Glasgow United Kingdom Neuromorphic Sensor Signal Processing Lab Centre for Image and Signal Processing University of Strathclyde Glasgow United Kingdom

We present a novel spiking neural network approach to building 3D LiDAR images from temporal information alone. Our method uses the "spike" events from individually detected photons without the need to const... 详细信息

关键词： Optical fibers

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On Visualizing Music Storage Media for Modern Access to Historic Sources

On Visualizing Music Storage Media for Modern Access to Hist...

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24th Eurographics Conference on Visualization, EuroVis 2022

作者： Khulusi, R. Fricke, H. Image and Signal Processing Group Leipzig University Germany Research Center Digital Organology Leipzig University Germany

ISBN: (纸本)9783038681854

Finding a balance between conserving historic objects and using them for research is one of the big issues in historic collections. Digitization holds the opportunity to offer a safe and non-destructible access to historic objects, making them available for research. With this poster, we want to give insight into our planned visualization system, using close and distant reading access for visual analysis approaches and allowing musicologists novel approaches to normally fragile and endangered media. © 2022 The Author(s) Eurographics Proceedings © 2022 The Eurographics Association.

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Facial expression recognition using log-euclidean statistical shape models

Facial expression recognition using log-euclidean statistica...

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1st International Conference on Pattern Recognition Applications and Methods, ICPRAM 2012

作者： Papiez, Bartlomiej W. Matuszewski, Bogdan J. Shark, Lik-Kwan Quan, Wei Applied Digital Signal and Image Processing Research Centre University of Central Lancashire PR1 2HE Preston United Kingdom

ISBN: (纸本)9789898425980

This paper presents a new method for facial expression modelling and recognition based on diffeomorphic image registration parameterised via stationary velocity fields in Log-Euclidean framework. The validation and comparison are done using different statistical shape models (SSM) built using the Point Distribution Model (PDM), velocity fields, and deformation fields. The obtained results show that the facial expression representation based on stationary velocity field can be successfully utilised in facial expression recognition, and this parameterisation produces higher recognition rate than the facial expression representation based on deformation fields.

关键词： Velocity

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Deformable image registration

Deformable image registration

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IEEE International Conference on image processing 2005, ICIP 2005

作者： Shen, Jian-Kun Matuszewski, Bogdan J. Shark, Lik-Kwan Research Center for Applied Digital Signal and Image Processing University of Central Lancashire Preston PR1 2HE United Kingdom

ISBN: (纸本)0780391349

The paper describes a novel deformable data registration algorithm. The proposed method can be seen as a tradeoff between the landmark and intensity driven data registration techniques. The algorithm is fast, robust and offers high registration accuracy. The algorithm enables to include complex constraints on the allowable data deformations. It is shown that some of these constraints permit to treat part of the data as rigid objects or restrict its deformation to a predefined shape. The main focus of the paper is put on the description of the elastic deformation model used in the method. The performance of this new technique is illustrated using simulated as well as real Computed Tomography (CT) images. © 2005 IEEE.

关键词： image processing

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Facial Expression Recognition Using Diffeomorphic image Registration Framework

Facial Expression Recognition Using Diffeomorphic Image Regi...

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ISBN: (纸本)9781461450757

This paper presents a new method for facial expression modelling and recognition based on diffeomorphic image registration parameterised via stationary velocity fields in the log-Euclidean framework. The validation and comparison are done using different statistical shape models (SSM) built using the Point Distribution Model (PDM), velocity fields and deformation fields. The obtained results show that the facial expression representation based on stationary velocity fields can be successfully utilised in facial expression recognition, and this parameterisation produces a higher recognition rate than the facial expression representation based on deformation fields. © Springer Science+Business Media New York 2013.

关键词： Velocity

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S2A: Wasserstein GAN with Spatio-Spectral Laplacian Attention for Multi-Spectral Band Synthesis

S2A: Wasserstein GAN with Spatio-Spectral Laplacian Attentio...

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IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

作者： Litu Rout Indranil Misra S Manthira Moorthi Debajyoti Dhar Signal and Image Processing Group Indian Space Research Organisation

ISBN: (数字)9781728193601

ISBN: (纸本)9781728193618

Intersection of adversarial learning and satellite image processing is an emerging field in remote sensing. In this study, we intend to address synthesis of high resolution multi-spectral satellite imagery using adversarial learning. Guided by the discovery of attention mechanism, we regulate the process of band synthesis through spatio-spectral Laplacian attention. Further, we use Wasserstein GAN with gradient penalty norm to improve training and stability of adversarial learning. In this regard, we introduce a new cost function for the discriminator based on spatial attention and domain adaptation loss. We critically analyze the qualitative and quantitative results compared with state-of-the-art methods using widely adopted evaluation metrics. Our experiments on datasets of three different sensors, namely LISS-3, LISS-4, and WorldView-2 show that attention learning performs favorably against state-of-the-art methods. Using the proposed method we provide an additional data product in consistent with existing high resolution bands. Furthermore, we synthesize over 4000 high resolution scenes covering various terrains to analyze scientific fidelity. At the end, we demonstrate plausible large scale real world applications of the synthesized band.

关键词： Spatial resolution signal resolution Generators Gallium nitride Remote sensing Laplace equations

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Optimal Multimodel Representation by Laguerre Filters applied to a Communicating Two Tank System

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Journal of Systems Science & Complexity 2018年第3期31卷 621-646页

作者： SAMEH Adaily ABDELKADER Mbarek TAREK Garna JOSE Ragot Laboratory of Automatic Control Signal and Image Processing National Engineering School of Monastir University of Monastir 5019 Tunisia Higher Institute of Applied Science and Technology of Sousse University of Sousse 4003 Tunisia Center of Research on Automatic of Nancy CNRS 2 Avenue de la for de Haye 54516 Vandoeuvre Cedex France.

This paper presents the development of a new nonlinear representation by exploiting the multimodel approach and the new linear representation ARX-Laguerre for each operating region. The resulting multimodel, entitled ARX-Laguerre multimodel, is characterized by the parameter number reduction with a recursive representation. However, a significant reduction of this multimodel is subject to an optimal choice of Laguerre poles characterizing each local linear model ARX-Laguerre. Therefore, the authors propose an optimization algorithm to estimate, from input/output measurements, the optimal values of Laguerre poles. The ARX-Laguerre multimodel as well as the proposed optimization algorithm are tested on a continuous stirred tank reactor system （CSTR）. Moreover, the authors take into account a practical validation on an experimental communicating two tank system （CTTS）.

关键词： ARX-Laguerre model Laguerre poles multimodel approach optimization

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Modular real time architectures for image understanding applications 2

Modular real time architectures for image understanding appl...

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Architectures and Algorithms for Digital image processing II 1985

作者： Wehner, William W. Signal and Image Processing Group Systems and Research Center 2600 Ridgway Parkway N.E. MN17-2306 MinneapolisMN55413 United States

Diverse image understanding (IU) system applications and attendant reduced life cycle cost requirements call for real time system architectures which are increasingly flexible, maintainable, reprogrammable, and upgradable. The requirements for algorithm mapping to architecture are sufficiently complex to require automated functional analysis tools. Algorithm complexity dictates higher order language (HOL) system programmability for acceptable software development cycles. Architecture complexity requires automated architecture simulation/emulation support for acceptable hardware development cycles. Honeywell, through external contracts and IR&D, is pursuing the definition and development of real time IU architectures (and algorithms) which cost-effectively support diverse applications including tactical targeting and reconnaissance, scene analysis, robot vision, and autonomous navigation. We are addressing the systems requirements of these applications with designs which are modular, expandable, and software configurable. Our presentation will overview the IU applications we are pursuing, our architectural approach to meeting system real time throughput requirements, and our underlying design methodology for architecture development. © 1985 SPIE. All rights reserved.

关键词： Real time systems

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Classification of large and heterogeneous LiDAR data sets

Classification of large and heterogeneous LiDAR data sets

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2023 Designing Futures: Zukunfte gestalten, INFORMATIK 2023 - 2023 Designing Futures: Shaping the Future, INFORMATIK 2023

作者： Kaubukowski, Kenn Nsonga, Baldwin Kretzschmar, Vanessa Annanias, Yves Wiegreffe, Daniel Hlawitschka, Mario LeipzigUniversity of Applied Sciences Chair of Computer Graphics Karl-Liebknecht-Straße 132 Leipzig04277 Germany Leipzig University Image and Signal Processing Group Augustusplatz 10 Leipzig04109 Germany

ISBN: (纸本)9783885797319

In the context of the renaturation of discontinued open-cast mines, the interactive visualization analysis of three-dimensional LiDAR provides a comprehensive overview for planning the subsequent use of these areas. When analyzing the measured point clouds, it is beneficial to classify the points, enabling the user to filter objects such as vehicles and buildings. Most current classification techniques for LiDAR data rely on good ground truth and work on specific types of measurements and resolutions. In this work, we present a semantic classification workflow for LiDAR data with highly heterogeneous acquisition and storage parameters. We apply the workflow to a freely available LiDAR data set and showcase the resulting classification. Our method is shown to reliably classify not only large-scale objects, such as buildings, but also small-scale objects, such as power lines and street lights. © 2023 Gesellschaft fur Informatik (GI). All rights reserved.

关键词： Classification (of information)

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Personalized Game Design for Balance Rehabilitation in Multiple Sclerosis: Insights from Neuroimaging and Neurophysiological Test

Personalized Game Design for Balance Rehabilitation in Multi...

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2024 IEEE International Conference on Smart Systems and Power Management, IC2SPM 2024

作者： Ibrahim, Hiyam Diab, Ahmad Khalil, Mohamad Guardiola, Emmanuel Doctoral School of Sciences and Technology Lebanese University Beirut Lebanon Cologne University of Applied Sciences Cologne Game Lab Cologne Germany Lebanese International University Signal Processing Research Group Biomedical Engineering Department Tripoli Lebanon Signal Processing Research Group Biomedical Engineering Department Beirut Lebanon

ISBN: (纸本)9798331529796

The application of exergames as tools for balance rehabilitation in patients with multiple sclerosis (PwMS) has demonstrated promising results. However, despite these findings, the efficacy of these games remains inconclusive, largely due to the reliance on commercially available games. This highlights the necessity for the design of personalized games that better address patients' needs. The development of such games requires an understanding of the mechanisms underlying balance dysfunction in PwMS. Previous research has identified impairments in sensory integration and reweighting process among the key contributors to this issue. These observations were based on correlations between balance measures and both neuroimaging and neurophysiological test findings from various regions of the central nervous system (CNS). Consequently, this study aimed to develop a personalized game that specifically targets impairments in sensory integration and reweighting process, thereby addressing these limitations and observations noted in the existing knowledge. Our objective was accomplished utilizing Unity, a three-dimensional game engine widely employed in video game development. As a result, we developed a game prototype that incorporates specific in-game features designed to facilitate balance training under varying sensory conditions, such as eyes-open and eyes-closed conditions. The incorporation of these features into the game design has the potential to improve rehabilitation outcomes, thereby contributing to advancements in both the fields of game design and neurorehabilitation. Future research will evaluate the effectiveness of the game prototype in improving balance control under variable sensory conditions. © 2024 IEEE.

关键词： Game design

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