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doctorate Consortium Proposal 25

Doctorate Consortium Proposal

引用

25th IEEE conference on virtual Reality and 3d User Interfaces (IEEE VR)

作者： Rasmussen, Loki Univ Arkansas Little Rock Little Rock AR 72204 USA

ISBN: (纸本)9781538633656

This research concentrates on defense-type systems for operational awareness using virtual reality solutions. Many computer vision solutions in defense environments concentrate on removing user decision from systems for automation, but in doing so remove trained military professionals from decision making. Instead this research looks to reintegrate the military professional by providing a real-time point cloud visualization of a previously unmapped environment, in virtual reality, for remote operation of an unmanned vehicle. due to an interest in a low-cost and modular system, that could be used on a variety of unmanned vehicles, including those used in underwater environments, the solution has moved away from LIdAR and Kinnect's laser-based systems and towards stereo cameras, particularly webcams. While looking to provide this approach, several other areas of interest become apparent, including the need to have a reliable stereo reconstruction under variant lighting conditions, particularly in the case of backlight in natural environments. Consequently, a variety of keypoint detection algorithms and point cloud reconstruction methods are being explored in conjunction with their usefulness within real-time constraints and with low-resolution images. Also, it will require evaluating different point cloud render techniques such as splatting, and storing the data in reliable data structures for effective LOds for real-time rendering. Then, finally, it will be important to explore research on effective user operated virtual environments and simulations to determine best practices for navigation and interface in the front-facing part of the system that allows the user operation.

关键词： Real-time systems virtual reality Three-dimensional displays Cameras Image reconstruction data visualization Computer vision"

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drawing Three-dimensional Objects Based on virtual Viewpoint Synthesis

Drawing Three-Dimensional Objects Based on Virtual Viewpoint...

引用

IEEE International conference on Cyber Technology in Automation, Control, and Intelligent Systems

作者： dongyue Chen Yuanyuan Song Xingya Chang Tong Jia Artificial intelligence laboratory Northeastern University Shenyang CN

ISBN: (数字)9781728107707

ISBN: (纸本)9781728107714

In order to obtain all-round information of an object or scene, 3d reconstruction technology used to reconstruct it in the past decades. This technology needs to reconstruct the 3d virtual model of the surface of the object in the computer, so it is necessary to carry out complex modeling processing on the object. Aiming at the complexity of traditional modeling, drawing three-dimensional objects based on virtual viewpoint synthesis is proposed. IBR technology with implicit geometric information mainly used in depth-Image-Based Rendering (dIBR). The reconstruction of virtual objects is realized by bidirectional mapping, and finally the reproduction of the entire three-dimensional object can be completed by using a small amount of image data.

关键词： Cameras conferences Automation Control systems Intelligent systems Calibration

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Augmented Reality visualization of Joint Movements for Physical Examination and Rehabilitation 25

Augmented Reality Visualization of Joint Movements for Physi...

引用

25th IEEE conference on virtual Reality and 3d User Interfaces (IEEE VR)

作者： debarba, Henrique Galvan de Oliveira, Marcelo Elias Ladermann, Alexandre Chague, Sylvain Charbonnier, Caecilia Artanim Fdn Meyrin Switzerland Univ Geneva Fac Med Geneva Switzerland La Tour Hosp Div Orthoped & Trauma Surg Meyrin Switzerland Clin La Colline Div Orthopaed & Trauma Surg Geneva Switzerland

ISBN: (纸本)9781538633656

We present a visualization tool for human motion analysis in augmented reality. Our tool builds upon our previous work on joint biomechanical modelling for kinematic analysis, based on optical motion capture and personalized anatomical reconstruction of joint structures from medical imaging. It provides healthcare professionals with the in situ visualization of joint movements, where bones are accurately rendered as a holographic overlay on the subject- like if the user has an "X-ray vision" - and in real-time as the subject performs the movement. Currently, hip and knee joints are supported.

关键词： I.3.7 [Computer Graphics]: Three-dimensional Graphics and Realism virtual reality H.5.2 [Information Interfaces and Presentation]: User Interfaces Evaluation/methodology

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26th International conference in Central Europe on Computer Graphics, visualization and Computer Vision, WSCG 2018 - Proceedings

26th International Conference in Central Europe on Computer ...

引用

26th International conference in Central Europe on Computer Graphics, visualization and Computer Vision, WSCG 2018

ISBN: (纸本)9788086943411

The proceedings contain 25 papers. The topics discussed include: the method for detection repetitive elements in textures with irregular structure;a fast approximation of the voronoi diagram for a set of pairwise disjoint arcs;real-time visualization of dynamic unlimited objects instancing;accelerating evolutionary construction tree extraction via graph partitioning;3d underground reconstruction for real-time and collaborative virtual reality environment;actor 3d reconstruction by a scene-based, visual hull guided, multi-stereovision framework;visually realistic graphical simulation of underwater cable;3d reconstruction of coronary arteries from rotational x-ray angiography;and a new robust and blind image watermarking scheme in frequency domain based on optimal blocks selection.

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Object reconstruction with deep Learning: A Survey

Object Reconstruction with Deep Learning: A Survey

引用

IEEE International conference on Cyber Technology in Automation, Control, and Intelligent Systems

作者： Zishu Gao En Li Guodong Yang Zhe Wang Yunong Tian Zize Liang Rui Guo Shengchuan Li The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences and The University of Chinese Academy of Sciences Beijing China The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China State Grid Shandong Electric Power Company Jinan China State Grid Liaoning Electric Power Company Limited Shenyang China

ISBN: (数字)9781728107707

ISBN: (纸本)9781728107714

Object reconstruction is one of the most crucial branches of computer vision. With the development of deep learning, many tasks have achieved remarkable improvements in computer vision. 3d reconstruction with deep learning also has attracted much attention in recent years. deep learning methods based on CNN-based and GAN-based architectures have been adopted for 3d object prediction. In addition, researchers utilize different inputs such as RGB and depth images to achieve prediction based on different problem. In this paper, we provide a detailed overview of recent advances in 3d object reconstruction. The reviewed approaches are categorized into three groups depending on the input modality: RGB-based, depth-based and other-input-based. Particularly, we introduce the various methods and indirectly classify the shape representation. As a survey, we discuss the strong and weak points of exciting approaches.

关键词： Three-dimensional displays Image reconstruction Shape Machine learning Generators Two dimensional displays Automation

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Automatic Hair Modeling from One Image

Automatic Hair Modeling from One Image

引用

International conference on virtual Reality and visualization (ICVRV)

作者： Ligang Cheng Yongtang Bao Yue Qi Beihang University Qingdao China Shandong University of Science and Technology Qingdao China Beihang University Beijing China

ISBN: (数字)9781728147529

ISBN: (纸本)9781728147536

Hair is one of the most critical characteristics of a person in the process of digitizing characters, but at the same time, hair modeling is still a very challenging task due to the diversity of hairstyles and the overlap among hair. We introduce a method to automatically generate 3d hair geometry from a front hair image, which can recover the outline and details of the hair geometry. We designed a encoder-decoder convolutional neural network which takes the 2d orientation field from a hair image as input, and output the characteristic hair geometry. Then we use the characteristic strands to search for eligible hairstyle from Hairstyle-database, and fuse retrieved hair model to get the nal hairstyle. This pipeline can automatically recover hair geometry from a front hair image without any supplementary information. Experimental results show that our approach achieves realistic reconstruction effect from real Internet pictures and self-portraits.

关键词： Hair Two dimensional displays Three-dimensional displays Solid modeling databases Image reconstruction Training

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Computer Application for 3d reconstruction from Medical Images and Integration of a Haptic Tool

Computer Application for 3D Reconstruction from Medical Imag...

引用

International Engineering, Sciences and Technology conference (IESTEC)

作者： José Rolando Serracín P. Héctor Montes Franceschi Iveth Moreno Rony Caballero Universidad Tecnológica de Panamá Panama City Panama Grupo Robo-Proc Centro Regional de Chiriquí Universidad Tecnológica de Panamá Chiriquí Panamá Facultad de Ingeniería Eléctrica Universidad Tecnológica de Panamá Panamá Panamá

ISBN: (纸本)9781728116921

This article presents the processes performed to obtain a medical image in three dimensions (3d), reconstructed from a stack of 2d medical images, acquired through a computerized axial tomography (CAT). Additionally, it is described the integration of a haptic tool within the developed system for the interaction and manipulation of the 3d virtual solid, generated in the application developed in this work, by a user who operates this tool (Phantom Omni).

关键词： Three-dimensional displays Two dimensional displays Phantoms visualization Haptic interfaces Tools

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Automated virtual Navigation and Monocular Localization of Indoor Spaces from Videos 31

Automated Virtual Navigation and Monocular Localization of I...

引用

IEEE/CVF conference on Computer Vision and Pattern Recognition (CVPR)

作者： Wu, Qiong Li, Ambrose HERE Technol 210-4350 Still Creek Dr Burnaby BC V5C 0G5 Canada

ISBN: (数字)9781538661000

ISBN: (纸本)9781538661000

3d virtual navigation and localization in large indoor spaces (i.e., shopping malls and offices) are usually two separate studied problems. In this paper, we propose an automated framework to publish both 3d virtual navigation and monocular localization services that only require videos (or burst of images) of the environment as input. The framework can unify two problems as one because the collected data are highly utilized for both problems, 3d visual model reconstruction and training data for monocular localization. The power of our approach is that it does not need any human label data and instead automates the process of two separate services based on raw video (or burst of images) data captured by a common mobile device. We build a prototype system that publishes both virtual navigation and localization services for a shopping mall using raw video (or burst of images) data as inputs. Two web applications are developed utilizing two services. One allows navigation in 3d following the original video traces, and user can also stop at any time to explore in 3d space. One allows a user to acquire his/her location by uploading an image of the venue. Because of low barrier of data acquirement, this makes our system widely applicable to a variety of domains and significantly reduces service cost for potential customers.

关键词： Three-dimensional displays Solid modeling Engines Videos data models visualization Training

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3d Scene reconstruction With Multi-Layer depth and Epipolar Transformers

3D Scene Reconstruction With Multi-Layer Depth and Epipolar ...

引用

International conference on Computer Vision (ICCV)

作者： daeyun Shin Zhile Ren Erik Sudderth Charless Fowlkes University of California Irvine Irvine CA USA Georgia Institute of Technology Atlanta GA USA University of California. Irvine UC Irvine

ISBN: (数字)9781728148038

ISBN: (纸本)9781728148045

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.

关键词： Three-dimensional displays Shape Solid modeling Geometry Cameras Image reconstruction Surface reconstruction

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Space Tentacles - Integrating Multimodal Input into a VR Adventure Game 25

Space Tentacles - Integrating Multimodal Input into a VR Adv...

引用

25th IEEE conference on virtual Reality and 3d User Interfaces (IEEE VR)

作者： Zimmerer, Chris Fischbach, Martin Latoschik, Marc Erich Univ Wurzburg Wurzburg Germany

ISBN: (纸本)9781538633656

Multimodal interfaces for virtual Reality (VR), e.g., based on speech and gesture input/output (I/O), often exhibit complex system architectures. Tight couplings between the required I/O processing stages and the underlying scene representation and the simulator system's flow-of-control tend to result in high development and maintainability costs. This paper presents a maintainable solution for realizing such interfaces by means of a cherry-picking approach. A reusable multimodal I/O processing platform is combined with the simulation and rendering capabilities of the Unity game engine, allowing to exploit the game engine's superior API usability and tool support. The approach is illustrated based on the development of a multimodal VR adventure game called Space Tentacles.

关键词： Human-centered computing Interaction paradigms Software and its engineering Software architectures Computing methodologies virtual reality

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