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2020 International Conference on 5G Mobile Communication and Information Science, MCIS-5G 2020

作者： Dajin, Ya Xiaochun, Lei Yue, Li Junyan, Chen Rongcun, Huang Lin, Lan School of Computer and Information Security Guilin University of Electronic Technology Guilin541004 China Guangxi Colleges and Universities Key Lab. of Intelligent Processing of Computer Images and Graphics Guilin541004 China Guangxi Cooperative Innovation Center of Cloud Computing and Big Data Guilin University of Electronic Technology Guilin541004 China

The mobile robot adapts to the more complicated indoor and outdoor environments, and can expand its scope of application. In order to reduce the influence of the cumulative error caused by navigation in complex environments, the indoor mobile robot that combines Inertial Measurement Unit (IMU) and encoder fusion is designed and implemented. In view of the limitations of the traditional single lidar scheme, a Multi-sensor Fusion scheme is proposed to achieve indoor map construction, path planning, multi-point navigation and other functions, and a MSIF KartoSLAM (Multi-sensor Information Fusion) algorithm is proposed, which combines the KartoSLAM algorithm and Multi-sensor information to achieve map construction in complex environments. Through comprehensive testing in the indoor environment, the results show that the Multi-sensor Fusion scheme is superior to the traditional single lidar scheme, and can achieve higher accuracy in mapping and navigation. At the same time, the robot platform can also be combined with the Internet of Things technology and integrated into intelligent housing system. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Navigation

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Vision Uformer: Long-Range Monocular Absolute Depth Estimation

SSRN

引用

SSRN 2022年

作者： Polasek, Tomas Cadik, Martin Keller, Yosi Benes, Bedrich Faculty of Information Technology Brno University of Technology Bozetechova 2/1 Brno612 00 Czech Republic Faculty of Information Technology Brno University of Technology Bozetechova 1/2 Brno612 00 Czech Republic Faculty of Engineering Bar-Ilan University 5290002 Ramat Gan1102-1105 Israel Computer Graphics Purdue University 305 N University St. West LafayetteIN47907-2107 United States

We introduce Vision UFormer (ViUT), a novel deep neural long-range monocular depth estimator. The input is an RGB image, and the output is an image that stores the absolute distance of the object in the scene as its per-pixel values. ViUT consists of a Transformer encoder and a ResNet decoder combined with UNet style of skip connections. It is trained on 1M images across ten datasets in a staged regime that starts with easier-to-predict data such as indoor photographs and continues to more complex long-range outdoor scenes. We show that ViUT provides comparable results for normalized relative distances and short-range classical datasets such as NYUv2 and KITTI. We further show that it successfully estimates absolute long-range depth in meters. We validate ViUT on a wide variety of long-range scenes showing its high estimation capabilities with a relative improvement of up to 23%. Absolute depth estimation finds application in many areas, and we show its usability in image composition, range annotation, defocus, and scene reconstruction. Our models are available at ***/viut. © 2022, The Authors. All rights reserved.

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Variational inference and bayesian cnns for uncertainty estimation in multi-factorial bone age prediction

arXiv

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arXiv 2020年

作者： Eggenreich, Stefan Payer, Christian Urschler, Martin Štern, Darko Institute of Computer Graphics and Vision Graz University of Technology Austria School of Computer Science University of Auckland New Zealand

Additionally to the extensive use in clinical medicine, biological age (BA) in legal medicine is used to assess unknown chronological age (CA) in applications where identification documents are not available. Automatic methods for age estimation proposed in the literature are predicting point estimates, which can be misleading without the quantification of predictive uncertainty. In our multi-factorial age estimation method from MRI data, we used the Variational Inference approach to estimate the uncertainty of a Bayesian CNN model. Distinguishing model uncertainty from data uncertainty, we interpreted data uncertainty as biological variation, i.e. the range of possible CA of subjects having the same BA. Copyright © 2020, The Authors. All rights reserved.

关键词： Uncertainty analysis

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Blindness Visualizer: A Simulated Navigation Experience

Blindness Visualizer: A Simulated Navigation Experience

引用

Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), IEEE Conference on

作者： Claudia Krogmeier Justin Heffron Justin Legare Michael Nelson Ziyi Liu Christos Mousas Department of Computer Graphics Technology Purdue University West Lafayette Indiana U.S.A

ISBN: (数字)9781728165325

ISBN: (纸本)9781728165332

Exploration of the challenges faced by individuals who are non sighted or visually impaired has primarily been limited to physical methods such as blindfolds and controlled environments. Using virtual reality, we provide a simulation of blind navigation using a shader effect with scattered light. The scattered light represents the auditory and haptic feedback that the player receives while using a walking cane to navigate the virtual environment. We discuss methods of development, and goals for this simulation.

关键词： Blindness Visualization Navigation Solid modeling Haptic interfaces Legged locomotion Virtual reality

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Performance Analysis of a Cloud Computing System using Queuing Model with Correlated Task Reneging 5

Performance Analysis of a Cloud Computing System using Queui...

引用

5th International Scientific Conference on Information, Control, and Communication Technologies, ICCT 2021

作者： Kumar, Rakesh Soodan, Bhavneet Singh Kuaban, Godlove Suila Czekalski, Piotr Sharma, Sapana School of Mathematics Shri Mata Vaishno Devi University Jammu and Kashmir Katra182320 India Department of Mathematics and Statistics Namibia University of Science and Technology Private Bag 13388 Windhoek Namibia 13 Jackson Kaujeua Street Windhoek Namibia Institute of Theoretical and Applied Informatics Polish Academy of Sciences Baltycka 5 Gliwice44 - 100 Poland Department of Computer Graphics. Vision and Digital Systems Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Poland Department of Mathematics Cluster University of Jammu Jammu and Kashmir India

Queuing theory has been extensively used in the modelling and performance analysis of cloud computing systems. The phenomenon of the task (or request) reneging, that is, the dropping of requests from the request queue often occur in cloud computing systems, and it is important to consider it when developing performance evaluations models for cloud computing infrastructures. Majority of studies in the performance evaluation of cloud computing data centres with the use of queuing theory do not consider the fact that the tasks could be removed from queue without being serviced. The removal of tasks from the queue could be due to the user impatience, execution deadline expiration, security reasons, or as an active queue management strategy. The reneging could be correlated in nature, that is, if a request is dropped (or reneged) at any time epoch, and then there is a probability that a request may or may not be dropped at the next time epoch. This kind of dropping (or reneging) of requests is referred to as correlated request reneging. In this paper we have modelled a cloud computing infrastructure with correlated request reneging using queuing theory. An M/M/1/N queuing model with correlated reneging has been used to study the performance analysis of the load balancing server of a cloud computing system. The steady-state as well as the transient performance analyses have been carried out. Important measures of performance like a vera ge queue size, average delay, probability of task blocking, and the probability of no waiting in the queue are studied. Finally, some comparisons are performed which describe the effect of correlated task reneging over simple exponential reneging. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Cloud computing

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Design and Development of a Web-based Tool for Inpainting of Dissected Aortae in Angiography Images

arXiv

引用

arXiv 2020年

作者： Prutsch, Alexander Pepe, Antonio Egger, Jan Institute of Computer Graphics and Vision Graz University of Technology Graz Austria Computer Algorithms for Medicine Lab Graz Austria

Medical imaging is an important tool for the diagnosis and the evaluation of an aortic dissection (AD);a serious condition of the aorta, which could lead to a life-threatening aortic rupture. AD patients need life-long medical monitoring of the aortic enlargement and of the disease progression, subsequent to the diagnosis of the aortic dissection. Since there is a lack of healthy-dissected image pairs from medical studies, the application of inpainting techniques offers an alternative source for generating them by doing a virtual regression from dissected aortae to healthy aortae;an indirect way to study the origin of the disease. The proposed inpainting tool combines a neural network, which was trained on the task of inpainting aortic dissections, with an easy-to-use user interface. To achieve this goal, the inpainting tool has been integrated within the 3D medical image viewer of StudierFenster (***). By designing the tool as a web application, we simplify the usage of the neural network and reduce the initial learning curve. Copyright © 2020, The Authors. All rights reserved.

关键词： Blood vessels

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Color Blindness Bartender: An Embodied VR Game Experience

Color Blindness Bartender: An Embodied VR Game Experience

引用

Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), IEEE Conference on

作者： Zhiquan Wang Huimin Liu Yucong Pan Christos Mousas Department of Computer Graphics Technology Purdue University West Lafayette Indiana U.S.A.

ISBN: (数字)9781728165325

ISBN: (纸本)9781728165332

Color blindness is a very common condition, as almost one in ten people have some level of color blindness or visual impairment. However, there are many tasks in daily life that require the abilities of color recognition and visual discrimination. In order to understand the inconvenience that color-blind people experience in daily life, we developed a virtual reality (VR) application that provides the sense of embodiment of a color-blind person. Specifically, we designed a color-based task for users to complete under different types of color blindness in which users make colorful cocktails for customers and need to switch between different color blindness modalities of the application to distinguish different colors. Our application aims to embody users to color blindness in order to raise awareness on such color vision deficiency.

关键词： Vision defects Image processing Color Games Rendering (computer graphics) Virtual reality Human computer interaction

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EFaR 2023: Efficient Face Recognition Competition

EFaR 2023: Efficient Face Recognition Competition

引用

IEEE International Joint Conference on Biometrics (IJCB)

作者： Jan Niklas Kolf Fadi Boutros Jurek Elliesen Markus Theuerkauf Naser Damer Mohamad Alansari Oussama Abdul Hay Sara Alansari Sajid Javed Naoufel Werghi Klemen Grm Vitomir Štruc Fernando Alonso-Fernandez Kevin Hernandez Diaz Josef Bigun Anjith George Christophe Ecabert Hatef Otroshi Shahreza Ketan Kotwal Sébastien Marcel Iurii Medvedev Bo Jin Diogo Nunes Ahmad Hassanpour Pankaj Khatiwada Aafan Ahmad Toor Bian Yang Fraunhofer Institute for Computer Graphics Research IGD Germany TU Darmstadt Germany Department of Electrical and Computer Engineering Khalifa University Abu Dhabi United Arab Emirates Laboratory for Machine Intelligence Faculty of Electrical Engineering University of Ljubljana Slovenia Halmstad University Sweden Idiap Research Institute Martigny Switzerland École Polytechnique Fédérale de Lausanne (EPFL) Lausanne Switzerland Université de Lausanne (UNIL) Lausanne Switzerland Institute of Systems and Robotics University of Coimbra Coimbra Portugal Department of Information Security and Communication Technology eHealth and Welfare Security Group Norwegian University of Science and Technology Norway

This paper presents the summary of the Efficient Face Recognition Competition (EFaR) held at the 2023 International Joint Conference on Biometrics (IJCB 2023). The competition received 17 submissions from 6 different teams. To drive further development of efficient face recognition models, the submitted solutions are ranked based on a weighted score of the achieved verification accuracies on a diverse set of benchmarks, as well as the deployability given by the number of floating-point operations and model size. The evaluation of submissions is extended to bias, cross-quality, and large-scale recognition benchmarks. Overall, the paper gives an overview of the achieved performance values of the submitted solutions as well as a diverse set of baselines. The submitted solutions use small, efficient network architectures to reduce the computational cost, some solutions apply model quantization. An outlook on possible techniques that are underrepresented in current solutions is given as well.

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Development of a Realistic Crowd Simulation Environment for Fine-grained Validation of People Tracking Methods

arXiv

引用

arXiv 2023年

作者： Foszner, Pawel Szczęsna, Agnieszka Ciampi, Luca Messina, Nicola Cygan, Adam Bizon, Bartosz Cogiel, Michal Golba, Dominik Macioszek, Elżbieta Staniszewski, Michal Department of Computer Graphics Vision and Digital Systems Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland Institute of Information Science and Technologies National Research Council Pisa Italy QSystems.pro sp. z o.o. Mochnackiego 34 Bytom41-907 Poland Blees sp. z o.o. Zygmunta Starego 24a/10 Gliwice44-100 Poland Department of Transport Systems Traffic Engineering and Logistics Faculty of Transport and Aviation Engineering Silesian University of Technology Katowice Poland

Generally, crowd datasets can be collected or generated from real or synthetic sources. Real data is generated by using infrastructure-based sensors (such as static cameras or other sensors). The use of simulation tools can significantly reduce the time required to generate scenario-specific crowd datasets, facilitate data-driven research, and next build functional machine learning models. The main goal of this work was to develop an extension of crowd simulation (named CrowdSim2) and prove its usability in the application of people-tracking algorithms. The simulator is developed using the very popular Unity 3D engine with particular emphasis on the aspects of realism in the environment, weather conditions, traffic, and the movement and models of individual agents. Finally, three methods of tracking were used to validate generated dataset: IOU-Tracker, Deep-Sort, and Deep-TAMA. © 2023, CC BY.

关键词： Deep learning

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Embodiment for the Difference: A VR Experience of Bipolar Disorder

Embodiment for the Difference: A VR Experience of Bipolar Di...

引用

Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), IEEE Conference on

作者： Jiahui Dong Angshuman Mazumdar Fu Chia Yang Hung-Yu Chen Shubin Han Christos Mousas Department of Computer Graphics Technology Purdue University West Lafayette Indiana U.S.A.

ISBN: (数字)9781728165325

ISBN: (纸本)9781728165332

The objective of this project is to simulate the symptoms of bipolar disorder through a virtual reality application. We aim to provide an experience of how people live with bipolar disorder, which is characterized by drastic mood changes, during their daily lives. For our bipolar disorder simulation, we narrowed down the emotions to two stages—a manic or overjoyed state and a depressive state. Various factors—such as gameplay speed, interactions of varied difficulty, and computer graphics and sound effects—are employed during the simulation to dictate the emotion experienced by the user.

关键词： Solid modeling Virtual reality Mood Games Animation Task analysis Presses

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