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2022 International Conference on ENTERprise Information Systems, CENTERIS 2022 - International Conference on Project MANagement, ProjMAN 2022 and International Conference on Health and Social Care Information Systems and Technologies, HCist 2022

作者： Oliveira, João Gomes, Rui Gonzalez, Dibet Sousa, Nuno Shahrabadi, Somayeh Guevara, Miguel Ferreira, Maria Jose Alves, Pedro Peres, Emanuel Magalhães, Luis Adão, Telmo CCG: Centre for Computer Graphics Campus de Azurem Edificio 14 Guimarães4800-058 Portugal Martins Sarmento High School Alameda Prof. Abel Salazar Guimarães4810-247 Portugal Technology College Polytechnic Institute of Setubal Campos Do IPS Estefanilha Setubal2914-761 Portugal Rua de Fundões-Devesa Velha São João da Madeira3700-121 S. Portugal Kyaia-Soluções Informaticas Lda Rua Abilio Lopes Das Neves 593 Guimarães4805-214 Portugal CITAB University of Tras-os-Montes e Alto Douro Vila Real5000-801 Portugal Algoritmi Centre University of Minho Campus de Azurem Av. da Universidade Guimarães4800-058 Portugal

The management of an online footwear retail store-Also known as marketplace-usually involves activities that directly or indirectly end up to interface with customers, wherein communication efficiency and effectiveness is crucially relevant. Critical factors concerning entities developing remote business in these areas or similar include: (i) production of appealing catalogues and (ii) digital tools to shorten the distance between customers and marketplaces. The former requires using specific third parties-often technically complex-To arrange and prepare photographic entries acquired in studio-like environments. This can delay the diffusion of products supply that may result in financial losses. The latter prevents the retailer of reaching critical mass at a higher potential. Considering such issues, this paper proposes a couple of modules for footwear marketplaces, powered by deep learning: one to segment shoes as a fully automatic background removal tool for easing and quickening catalogue creation activities in a back-office perspective;and another to provide visual search services that allow a customer to submit photographs of footwear of interest to obtain recommendations of similar products directly retrieved from online retail databases, establishing another digital bridge with potential buyers. Preliminary implementation and pilot tests point out Mask-RCNN as a promising approach for shoes segmentation. The same applies to ResNet101 and Xception, but for shoes recommendation, based on multi-label classification. © 2023 Elsevier B.V.. All rights reserved.

关键词： Retail stores

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Hybrid online autotuning for parallel ray tracing

Hybrid online autotuning for parallel ray tracing

引用

19th Eurographics Symposium on Parallel graphics and Visualization, EGPGV 2019

作者： Herveau, K. Pfaffe, P. Tillmann, M. Tichy, W.F. Dachsbacher, C. Computer Graphics Group Karlsruhe Institute of Technology Germany Institute for Program Structures and Data Organization Karlsruhe Institute of Technology Germany

ISBN: (纸本)9783038680796

Acceleration structures are key to high performance parallel ray tracing. Maximizing performance requires configuring the degrees of freedom (e.g., construction parameters) these data structures expose. Whether a parameter setting is optimal depends on the input (e.g., the scene and view parameters) and hardware. Manual selection is tedious, error prone, and is not portable. To automate the parameter selection task we use a hybrid of model-based prediction and online autotuning. The combination benefits from the best of both worlds: One-shot configuration selection when inputs are known or similar, effective exploration of the configuration space otherwise. Online tuning additionally serves to train the model on real inputs without requiring a-priori training samples. Online autotuning outperforms best-practice configurations recommended by the literature, by up to 11% median. The model predictions achieve 95% of the online autotuning performance while reducing 90% of the autotuner overhead. Hybrid online autotuning thus enables always-on tuning of parallel ray tracing. © 2019 Eurographics Association. All rights reserved.

关键词： Ray tracing

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Preface

Proceedings - SIGGRAPH Asia 2023 Conference Papers, SA 2023

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Proceedings - SIGGRAPH Asia 2023 Conference Papers, SA 2023 2023年

作者： Lin, Ming C. Bickel, Bernd University Professor of Computer Science Dr. Barry Mersky E-Nnovate Endowed Professor Capital One E-Nnovate Endowed Professor University of Maryland College Park United States The Computer Graphics and Digital Fabrication Group Vp for Technology Transfer Institute of Science and Technology Austria Austria

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Can GAN Generated Morphs Threaten Face Recognition Systems Equally as Landmark Based Morphs? - Vulnerability and Detection

Can GAN Generated Morphs Threaten Face Recognition Systems E...

引用

International Workshop on Biometrics and Forensics (IWBF)

作者： Sushma Venkatesh Haoyu Zhang Raghavendra Ramachandra Kiran Raja Naser Damer Christoph Busch Norwegian Biometrics Laboratory Norwegian University of Science and Technology (NTNU) Norway Fraunhofer Institute for Computer Graphics Research IGD Darmstadt Germany

ISBN: (数字)9781728162324

ISBN: (纸本)9781728162331

The primary objective of face morphing is to com-bine face images of different data subjects (e.g. an malicious actor and an accomplice) to generate a face image that can be equally verified for both contributing data subjects. In this paper, we propose a new framework for generating face morphs using a newer Generative Adversarial Network (GAN) - StyleGAN. In contrast to earlier works, we generate realistic morphs of both high-quality and high resolution of 1024 × 1024 pixels. With the newly created morphing dataset of 2500 morphed face images, we pose a critical question in this work. (i) Can GAN generated morphs threaten Face Recognition Systems (FRS) equally as Landmark based morphs? Seeking an answer, we benchmark the vulnerability of a Commercial-Off-The-Shelf FRS (COTS) and a deep learning-based FRS (ArcFace). This work also benchmarks the detection approaches for both GAN generated morphs against the landmark based morphs using established Morphing Attack Detection (MAD) schemes.

关键词： Biometrics Face Recognition Morphing At-tack Vulnerability image morphing morphs Facial Recognition Biometrics Vulnerability face recognition system Flexed Sidebent Rotated landmarks

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A graph-based spine segmentation method: Combining target detection with unsupervised segmentation

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Biomedical Signal Processing and Control 2025年 110卷

作者： Cong Zhang Kunjin He Wei Xu Xiaoqing Gu Zhengming Chen College of Information Science and Engineering Hohai University Changzhou 213200 China Changzhou Key Laboratory of Digital Technology on Graphics and Orthopaedic Implants Hohai University Changzhou 213200 China School of Computer Science and Artificial Intelligence Changzhou University Changzhou 213146 China

Spine image segmentation is important for the diagnosis and treatment of spinal diseases. However automatic segment vertebrae and intervertebral discs from spine images without segmentation labels is a challenging. In this paper, we propose an end-to-end spine image segmentation framework to achieve automated spine image segmentation. The framework consists of an initialization stage, a coarse segmentation stage and a fine segmentation stage. The initialization stage is a trained regions of interest detector. The coarse segmentation stage is a deep autoencoder clustering network. In this stage, the reconstruction loss and clustering loss of is used to achieve unsupervised coarse segmentation. In addition, a fixed number of channels strategy is also employed to greatly reduce the number of model parameters while ensuring the segmentation performance. In the fine segmentation stage, the image segmentation is reinterpreted from the perspective of the graph structure. The edge pixels from the coarse segmentation are used to construct graphs. The features of the nodes and the features of the edges between nodes are fully considered by the graph attention mechanism to achieve unsupervised fine segmentation. Experiments on two spine image segmentation datasets and one brain tumor image segmentation dataset show that our method has superior performance and generalization ability.

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Realistic Haptic Feedback for Material Removal in Medical Simulations

Realistic Haptic Feedback for Material Removal in Medical Si...

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International Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (HAPTICS)

作者： Maximilian Kaluschke René Weller Niels Hammer Luigi Pelliccia Mario Lorenz Gabriel Zachmann Institute for Computer Graphics and Virtual Reality University of Bremen Department of Orthopedics University Hospital Leipzig Professorship Machine Tool Design and Forming Technology Chemnitz University of Technology

ISBN: (数字)9781728102344

ISBN: (纸本)9781728102351

We present a novel haptic rendering method to simulate material removal in medical simulations at haptic rates. The core of our method is a new massively-parallel continuous collision detection algorithm in combination with a stable and flexible 6-DOF collision response scheme that combines penalty- and constraint-based force computation. Moreover, a volumetric object representation of the 3D objects allows us to derive a realistic local material model from experimental human cadaveric data, as well as support real-time continuous material removal. We have applied our algorithm to a hip replacement simulator and two dentistry-related simulations for root-canal opening and caries removal. The results show realistic continuous forces and torques at haptic rates.

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Cosine series quantum sampling method with applications in signal and image processing

arXiv

引用

arXiv 2020年

作者： Wereszczyński, Kamil Michalczuk, Agnieszka Pęszor, Damian Paszkuta, Marcin Cyran, Krzysztof Polański, Andrzej Department of Graphics Computer Vision and Digital Systems Faculty of Automatic Control Electronics Poland Computer Science Silesian University of Technology Akademicka 16 Gliwice44-100 Poland

A novel family of Cosine series Quantum Sampling (QCoSamp) operators appropriate for quantum computing is described. The development of quantum algorithms, analogous to classical algorithms, we apply to the harmonic analysis of signals. We show quantum sampling through measurements of a quantum system, and after operators of the family are applied, allow for input signal mapping with a Fourier series representation. Technical methodologies employed, facilitating the implementation of each QCoSamp algorithm to a quantum computer and application to the field of signal and image processing we also *** Codes 94-02 © 2020, CC-BY-NC-ND.

关键词： Quantum optics

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k-strip: A novel segmentation algorithm in k-space for the application of skull stripping

arXiv

引用

arXiv 2022年

作者： Rempe, Moritz Mentzel, Florian Pomykala, Kelsey L. Haubold, Johannes Nensa, Felix Kröninger, Kevin Egger, Jan Kleesiek, Jens University Hospital Essen Girardetstraße 2 Essen45131 Germany The Department of Physics of the Technical University Dortmund Otto-Hahn-Straße 4a Dortmund44227 Germany The Computer Algorithms for Medicine Laboratory Graz8010 Austria The Institute of Computer Graphics and Vision Graz University of Technology Inffeldgasse 16 Graz8010 Austria University Medicine Essen Hufelandstraße 55 Essen45147 Germany Partner Site Essen Hufelandstraße 55 Essen45147 Germany

We present a novel deep learning-based skull stripping algorithm for magnetic resonance imaging (MRI) that works directly in the information rich complex valued k-space. Using three datasets from different institutions with a total of around 140000 MRI slices, we show that our network can perform skull-stripping on the raw data of MRIs while preserving the phase information which no other skull stripping algorithm is able to work with. For two of the datasets, skull stripping performed by HD-BET (Brain Extraction Tool) in the image domain is used as the ground truth, whereas the third dataset comes with per-hand annotated brain segmentations. All three datasets were very similar to the ground truth (DICE scores of 92%-99% and Hausdorff distances of under 5.5 pixel). Results on slices above the eye-region reach DICE scores of up to 99%, whereas the accuracy drops in regions around the eyes and below, with partially blurred output. The output of k-strip often has smoothed edges at the demarcation to the skull. Binary masks are created with an appropriate threshold. With this proof-of-concept study, we were able to show the feasibility of working in the k-space frequency domain, preserving phase information, with consistent results. Besides preserving valuable information for further diagnostics, this approach makes an immediate anonymization of patient data possible, already before being transformed into the image domain. Future research should be dedicated to discovering additional ways the k-space can be used for innovative image analysis and further workflows. Copyright © 2022, The Authors. All rights reserved.

关键词： Magnetic resonance imaging

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Suitable Embedding to Find Similarity Between Left and Right Retinas of a Person 12

Suitable Embedding to Find Similarity Between Left and Right...

引用

12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2019

作者： Biswas, Sangeeta Rohdin, Johan Drahansky, Martin Brno University of Technology Dept. of Intelligent Systems Brno Czech Republic Dept. of Computer Graphics and Multimedia Brno University of Technology Brno Czech Republic

ISBN: (纸本)9781728148526

It is often argued among biometric researchers that the left and right retinas of the same person are as different as the retinas of two different persons. However, in our previous work we showed that by looking at retinal images human volunteers can find some similarity and tell whether a pair of the left and right retinal images belongs to a single person or to two different persons. We also showed that using cosine similarity between the embedded vectors of two retinal images it is possible to find the correct right retinal image for a left retinal image more than what could be expected by chance. In this paper we investigate which type of embedding can give us better cosine similarity measurement between the left and right retinal images of a person. © 2019 IEEE.

关键词： Embeddings

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Virtual reality game level layout design for real environment constraints

引用

graphics and Visual Computing 2021年 4卷

作者： Huimin Liu Zhiquan Wang Angshuman Mazumdar Christos Mousas Department of Computer Graphics Technology Purdue University West Lafayette IN 47907 USA

This paper presents an optimization-based approach for designing virtual reality game level layouts, based on the layout of a real environment. Our method starts by asking the user to define the shape of the real environment and the obstacles (e.g., furniture) located in it. Then, by representing a game level as an assembly of chunks and defining the game level layout design decisions in cost terms (mapping, fitting, variations, and accessibility) in a total cost function, our system automatically synthesizes a game level layout that fulfills the real environment layout and its constraints as well as the user-defined design decisions. To evaluate the proposed method, a user study was conducted. The results indicated that the proposed method: (1) enhanced the levels of presence; (2) enhanced the levels of involvement of participants in the virtual environment; and (3) reduced the fear of collision with the real environment and its constraints. Limitations and future research directions are also discussed.

关键词： Game level Level layout design Virtual reality Real environment constraints

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