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IEEE International conference on Artificial Intelligence and virtual Reality (AIVR)

作者： Benjamin Allison Xujiong Ye Faraz Janan School of Computer Science University of Lincoln Lincoln UK

ISBN: (数字)9781728174631

ISBN: (纸本)9781728174648

Adoption of virtual Reality (VR), Augmented Reality (AR) and Mixed Reality (MR) - known collectively as Extended Reality (XR) devices has been rapidly increasing over recent years. However, the focus of XR research has shown a lack of diversity in solutions to the problems within medicine, with it being predominantly focused in augmenting surgical procedures. Whilst important, XR applied to aiding medical diagnosis and surgical planning is relatively unexplored. In this paper we present a fully functional mammographic image analysis system, Breast3d, that can reconstruct MRI and CT scan data in XR. With breast cancer Breast Imaging-Reporting and data System (BI-RAdS) risk lexicon, early detection and clinical workflow such as Multi-disciplinary team (MdT) meetings for cancer in mind, our new mammography visualization system reconstructs CT and MRI volumes in a real 3d space. Breast3d is built upon the past literature and inspired from research for diagnosis and surgical planning. In addition to visualising the models in MR using the Microsoft HoloLens, Breast3d is versatile and portable to different XR head-mounted displays such as HTC Vive. Breast3d demonstrates the early potential for XR within diagnostics of 3d mammographic modalities, an application that has been proposed but until now has not been implemented.

关键词： Breast Three-dimensional displays Breast cancer X reality Magnetic resonance imaging Two dimensional displays Image reconstruction

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virtual reality-level of immersion within the crime investigation

Virtual reality-level of immersion within the crime investig...

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23rd International conference on Circuits, Systems, Communications and Computers, CSCC 2019

作者： Mach, Václav Valouch, Jan Adámek, Milan Ševčík, Jiří Tomas Bata University in Zlín Faculty of Applied Informatics Nad Stráněmi 4511 Zlín760 05 Czech Republic

The 3d reconstruction and visualization of crime scenarios, such as criminal assaults, traffic accidents or homicides are defining a new approach with potential for increasing effectiveness within the criminal investigation process. Modern 3d capturing and processing methods are utilized to create an authentic and immersive virtual environment. Nonetheless, an immersion to virtual environment enables different levels of view. virtual reality immersion views which are proposed and described. These views are specific by reasons of its role within the criminal investigation as well as its technical severity. Moreover, the possible methods for the design of proposed virtual views are analyzed and the next research steps are exposed. © 2019 The Authors, published by EdP Sciences.

关键词： Crime

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deep textured 3d reconstruction of human bodies 29

Deep textured 3D reconstruction of human bodies

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29th British Machine Vision conference, BMVC 2018

作者： Venkat, Abbhinav Jinka, Sai Sagar Sharma, Avinash IIIT Hyderabad India

Recovering textured 3d models of non-rigid human body shapes is challenging due to self-occlusions caused by complex body poses and shapes, clothing obstructions, lack of surface texture, background clutter, sparse set of cameras with non-overlapping fields of view, etc. Further, a calibration-free environment adds additional complexity to both - reconstruction and texture recovery. In this paper, we propose a deep learning based solution for textured 3d reconstruction of human body shapes from a single view RGB image. This is achieved by first recovering the volumetric grid of the non-rigid human body given a single view RGB image followed by orthographic texture view synthesis using the respective depth projection of the reconstructed (volumetric) shape and input RGB image. We propose to co-learn the depth information readily available with affordable RGBd sensors (e.g., Kinect) while showing multiple views of the same object during the training phase. We show superior reconstruction performance in terms of quantitative and qualitative results, on both, publicly available datasets (by simulating the depth channel with virtual Kinect) as well as real RGBd data collected with our calibrated multi Kinect setup. © 2018. The copyright of this document resides with its authors. It may be distributed unchanged freely in print or electronic forms.

关键词： Textures

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Preparing and guiding forensic crime scene inspections in virtual reality 19

Preparing and guiding forensic crime scene inspections in vi...

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2019 conference on Mensch und Computer, MuC 2019

作者： Süncksen, Matthias Teistler, Michael Hamester, Frederik Ebert, Lars C. CIVU – Center for Interaction Visualization and Usability Flensburg University of Applied Sciences Flensburg Germany Institut für Informatik Christian-Albrechts-Universität Kiel Germany Institute of Forensic Medicine University of Zurich Zurich Switzerland

ISBN: (纸本)9781450371988

Computer-based scene reconstruction is a method for answering specific forensic questions in the context of accident or crime scenes. For the resulting 3d reconstruction, the use of virtual reality (VR) technology is a novel presentation form. For the presentation to a prosecutor, the need to put visible content into context awards special significance to the moderator, especially as in a VR presentation the head mounted display (HMd) cuts VR users off from their natural environment. We analyze use cases for the parties involved in the courtroom VR presentation and consider the author, moderator and spectator roles and their corresponding session types for creating, directing and watching the presentation. A prototype system has been implemented to allow for suitable VR interactions for the three roles. An evaluation of the system with 12 participants assuming the role of the spectator yielded positive results with regard to the user experience and utility. © 2019 Copyright is held by the owner/author(s). Publication rights licensed to

关键词： Crime

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10th International conference on Functional Imaging and Modeling of the Heart, FIMH 2019

10th International Conference on Functional Imaging and Mode...

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10th International conference on Functional Imaging and Modeling of the Heart, FIMH 2019

ISBN: (纸本)9783030219482

The proceedings contain 46 papers. The special focus in this conference is on Functional Imaging and Modeling of the Heart. The topics include: A Spatial Adaptation of the Time delay Neural Network for Solving ECGI Inverse Problem;on Sampling Spatially-Correlated Random Fields for complex Geometries;Interpolating Low Amplitude ECG Signals Combined with Filtering According to International Standards Improves Inverse reconstruction of Cardiac Electrical Activity;model Assessment Through data Assimilation of Realistic data in Cardiac Electrophysiology;fibrillation Patterns Creep and Jump in a detailed Three-dimensional Model of the Human Atria;tissue drives Lesion: Computational Evidence of Interspecies Variability in Cardiac Radiofrequency Ablation;correcting Undersampled Cardiac Sources in Equivalent double Layer Forward Simulations;left Ventricular Shape and Motion reconstruction Through a Healthy Model for Characterizing Remodeling After Infarction;towards Automated Quantification of Atrial Fibrosis in Images from Catheterized Fiber-Optics Confocal Microscopy Using Convolutional Neural Networks;virtual Catheter Ablation of Target Areas Identified from Image-Based Models of Atrial Fibrillation;High-Resolution Ex Vivo Microstructural MRI After Restoring Ventricular Geometry via 3d Printing;synchrotron X-Ray Phase Contrast Imaging and deep Neural Networks for Cardiac Collagen Quantification in Hypertensive Rat Model;3d High Resolution Imaging of Human Heart for visualization of the Cardiac Structure;Investigating the 3d Local Myocytes Arrangement in the Human LV Mid-Wall with the Transverse Angle;development of a Computational Fluid dynamics (CFd)-Model of the Arterial Epicardial Vasculature;mesh Based Approximation of the Left Ventricle Using a Controlled Shrinkwrap Algorithm;a Computational Approach on Sensitivity of Left Ventricular Wall Strains to Geometry.

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Study on Multi-Scene VR Service Mode of Library in 5G Environment

Study on Multi-Scene VR Service Mode of Library in 5G Enviro...

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International conference on Information Systems and Computer Aided Education (ICISCAE)

作者： Jinping Xu Wenqing Song Library Wuhan University of Technology Wuhan China

ISBN: (数字)9781728183046

ISBN: (纸本)9781728194608

In order to realize the visual reconstruction and feature extraction of library multi-scene VR service mode, the library multi-scene 3d reconstruction and service mode recognition under 5G environment are required. A library multi-scene VR service reconstruction technology based on virtual reality VR visual feature analysis and service mode simulation is proposed. Firstly, RFId radio frequency tag identification technology is used to collect images of service reliability areas of libraries in 5G environment, and VR visual information simulation technology is used to enhance the collected images. Then, VR technology is used to track and render the contour and texture of the image edge to realize the visual feature reconstruction, service pattern recognition and three-dimensional scene reconstruction of VR service patterns in multiple scenes of the library. Finally, an actual library multi-scene VR service reconstruction simulation experiment is carried out. The results show that the method can realize the integrity detection of library multi-scene features in 5G environment, and the output image quality is high. The library multi-scene VR service mode in 5G environment is improved.

关键词： visualization Solid modeling 5G mobile communication Feature extraction Libraries Image reconstruction Radiofrequency identification

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Multi-layer depth and epipolar feature transformers for 3d scene reconstruction 32

Multi-layer depth and epipolar feature transformers for 3D s...

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32nd IEEE/CVF conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019

作者： Shin, daeyun Ren, Zhile Sudderth, Erik B. Fowlkes, Charless C. University of California Irvine United States Georgia Institute of Technology

ISBN: (纸本)9781728125060

We tackle the problem of automatically reconstructing a complete 3d model of a scene from a single RGB image. This challenging task requires inferring the shape of both visible and occluded surfaces. Our approach utilizes viewer-centered, multi-layer representation of scene geometry adapted from recent methods for single object shape completion. To improve the accuracy of view-centered representations for complex scenes, we introduce a novel "Epipolar Feature Transformer" that transfers convolutional network features from an input view to other virtual camera viewpoints, and thus better covers the 3d scene geometry. Unlike existing approaches that first detect and localize objects in 3d and then infer object shape using category-specific models, our approach is fully convolutional, end-to-end differentiable, and avoids the resolution and memory limitations of voxel representations. We demonstrate the advantages of multi-layer depth representations and epipolar feature transformers on the reconstruction of a large database of indoor scenes. As Figure 3 shows, our method yields roughly 5x improvement in recall and 2x increase in precision, providing estimates which are both more complete and more accurate. © 2019 IEEE Computer Society. All rights reserved.

关键词： Convolution

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Indoor Scene reconstruction: From panorama images to CAd models 18

Indoor Scene Reconstruction: From panorama images to CAD mod...

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International Normal Labour and Birth Research conference

作者： Luo, Chongyang Zou, Bochao Lyu, Xiangwen Xie, Haiyong China Acad Elect & Informat Technol Natl Engn Lab Publ Safety Risk Percept & Control Beijing Peoples R China Xidian Univ Sch Artificial Intelligence Xian Peoples R China Capital Med Univ Adv Innovat Ctr Human Brain Protect Beijing Peoples R China Univ Sci & Technol China Sch Cyber Sci Hefei Peoples R China

ISBN: (纸本)9781728147659

This paper presents a novel method of reconstructing indoor scenes, both structures and objects, by a single panorama photo. The method combines room structure estimation, furniture detection, models selection, as well as 3d positions reasoning. Compare with others, our preliminary results show this method could get almost the same performance with a simpler procedure.

关键词： Indoor scene reconstruction CAd model panorama images Human-centered computing visualization visualization techniques Computing methodologiesp Computer graphicsp Shape modeling

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Planar abstraction and inverse rendering of 3d indoor environment 40

Planar abstraction and inverse rendering of 3D indoor enviro...

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40th Annual conference on European Association for Computer Graphics, EUROGRAPHICS 2019

作者： Kim, Young Min Ryu, Sangwoo Kim, Ig-Jae Korea Republic of Seoul National University Korea Republic of POSTECH Korea Republic of

A large-scale scanned 3d environment suffers from complex occlusions and misalignment errors. The reconstruction contains holes in geometry and ghosting in texture. These are easily noticed and cannot be used in visually compelling VR content without further processing. On the other hand, the well-known Manhattan World priors successfully recreate relatively simple or clean structures. In this paper, we would like to push the limit of planar representation in indoor environments. We use planes not only to represent the environment geometrically but also to solve an inverse rendering problem considering texture and light. The complex process of shape inference and intrinsic imaging is greatly simplified with the help of detected planes and yet produces a realistic 3d indoor environment. The produced content can effectively represent the spatial arrangements for various AR/VR applications and can be readily combined with virtual objects possessing plausible lighting and texture. © 2019 The Eurographics Association.

关键词： Textures

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reconstruction of ceramic dishes from the archaeological site of the East Pomor town Lalsk by using 3d modeling

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AIP conference Proceedings 2022年第1期2503卷

作者： Sergey Grachev Irina Trushkova 1Vjatka State University 36 Moskovskaya str. Kirov city Kirov region Russia 2Vjatka State Agrotechnical University 133 Oktyabrsky av. Kirov city Kirov region Russia

The relevance of the research presented is based on a new collaboration between the exact and the humanities. The humanitarian sciences, which usually reject modeling, and in particular the historical sciences, are now beginning to actively apply it in the applied field. Notable examples include 3d modeling. Content of work. Using the methods of in-teracting sciences, it is possible to approach the solution of some old problems in the content, in particular, in the issues of reconstruction and analysis of the "material world" of bygone eras. On the example of the archaeological collections of the East Pomorye town of Lalsk of the 17th - 19th centuries. demonstrates the possibilities of digital processing of bulk ceramic material from expeditions. The traditional laborious gluing of pottery fragments from the debris found in the ex-cavation site is being replaced by digital modeling techniques. At the same time, museum originals do not suffer. The resulting collections of 3d models logically expand the field of applied use of historical knowledge through the creation of virtual museums. The use of new technologies adapts knowledge for young people, reveals methods for the wider application of IT in liberal arts education. The involvement of people with limited mobility in the public environment has been especially actualized. By mastering 3d modeling, the designated category can more actively get acquainted with the cultural heritage, including educational collections, through virtual museums, and use this information in distance education and education. Conclusions and research prospects. The presented specific studies in the frontier of engineering and the humanities outline the range of modern use of cyber technologies in various non-technical areas and show the directions for further digitalization of life. development and implementation of high-alloy corrosion-resistant steels with an in-creased complex of physical and mechanical properties, including heat resis

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