79 research outputs found

    Using a Graphics Turing Test to Evaluate the Effect of Frame Rate and Motion Blur on Telepresence of Animated Objects

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    A limited Graphics Turing Test is used to determine the frame rate that is required to achieve telepresence of an animated object. For low object velocities of 2.25 and 4.5 degrees of visual angle per second at 60 frames per second a rotating object with no added motion blur is able to pass the test. The results of the experiments confirm previous results in psychophysics and show that the Graphics Turing Test is a useful tool in computer graphics. Even with simulated motion blur, our Graphics Turing Test could not be passed with frame rates of 30 and 20 frames per second. Our results suggest that 60 frames per second (instead of 30 frames per second) should be considered the minimum frame rate to achieve object telepresence and that motion blur provides only limited benefits.</p

    XR: Enabling training mode in the human brain XR: Enabling training mode in the human brain

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    International audienceThe face of simulation-based training has greatly evolved, with the most recent tools giving the ability to create virtual environments that rival realism. At first glance, it might appear that what the training sector needs is the most realistic simulators possible, but traditional simulators are not necessarily the most efficient or practical training tools. With all that these new technologies have to offer; the challenge is to go back to the core of training needs and identify the right vector of sensory cues that will most effectively enable training mode in the human brain. Bigger and Pricier doesn't necessarily mean better. Simulation with cross-reality content (XR), which by definition encompasses virtual reality (VR), mixed reality (MR), and augmented reality (AR), is the most practical solution for deploying any kind of simulation-based training. The authors of this paper (a teacher and a technology expert) share their experiences and expose XR-specific best practices to maximize learning transfer

    A Classification of Human-to-Human Communication during the Use of Immersive Teleoperation Interfaces

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    Spatial Displays and Spatial Instruments

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    The conference proceedings topics are divided into two main areas: (1) issues of spatial and picture perception raised by graphical electronic displays of spatial information; and (2) design questions raised by the practical experience of designers actually defining new spatial instruments for use in new aircraft and spacecraft. Each topic is considered from both a theoretical and an applied direction. Emphasis is placed on discussion of phenomena and determination of design principles

    Application-driven visual computing towards industry 4.0 2018

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    245 p.La Tesis recoge contribuciones en tres campos: 1. Agentes Virtuales Interactivos: autónomos, modulares, escalables, ubicuos y atractivos para el usuario. Estos IVA pueden interactuar con los usuarios de manera natural.2. Entornos de RV/RA Inmersivos: RV en la planificación de la producción, el diseño de producto, la simulación de procesos, pruebas y verificación. El Operario Virtual muestra cómo la RV y los Co-bots pueden trabajar en un entorno seguro. En el Operario Aumentado la RA muestra información relevante al trabajador de una manera no intrusiva. 3. Gestión Interactiva de Modelos 3D: gestión online y visualización de modelos CAD multimedia, mediante conversión automática de modelos CAD a la Web. La tecnología Web3D permite la visualización e interacción de estos modelos en dispositivos móviles de baja potencia.Además, estas contribuciones han permitido analizar los desafíos presentados por Industry 4.0. La tesis ha contribuido a proporcionar una prueba de concepto para algunos de esos desafíos: en factores humanos, simulación, visualización e integración de modelos

    Creating a Virtual Mirror for Motor Learning in Virtual Reality

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    Waltemate T. Creating a Virtual Mirror for Motor Learning in Virtual Reality. Bielefeld: Universität Bielefeld; 2018

    Stereoscopic high dynamic range imaging

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    Two modern technologies show promise to dramatically increase immersion in virtual environments. Stereoscopic imaging captures two images representing the views of both eyes and allows for better depth perception. High dynamic range (HDR) imaging accurately represents real world lighting as opposed to traditional low dynamic range (LDR) imaging. HDR provides a better contrast and more natural looking scenes. The combination of the two technologies in order to gain advantages of both has been, until now, mostly unexplored due to the current limitations in the imaging pipeline. This thesis reviews both fields, proposes stereoscopic high dynamic range (SHDR) imaging pipeline outlining the challenges that need to be resolved to enable SHDR and focuses on capture and compression aspects of that pipeline. The problems of capturing SHDR images that would potentially require two HDR cameras and introduce ghosting, are mitigated by capturing an HDR and LDR pair and using it to generate SHDR images. A detailed user study compared four different methods of generating SHDR images. Results demonstrated that one of the methods may produce images perceptually indistinguishable from the ground truth. Insights obtained while developing static image operators guided the design of SHDR video techniques. Three methods for generating SHDR video from an HDR-LDR video pair are proposed and compared to the ground truth SHDR videos. Results showed little overall error and identified a method with the least error. Once captured, SHDR content needs to be efficiently compressed. Five SHDR compression methods that are backward compatible are presented. The proposed methods can encode SHDR content to little more than that of a traditional single LDR image (18% larger for one method) and the backward compatibility property encourages early adoption of the format. The work presented in this thesis has introduced and advanced capture and compression methods for the adoption of SHDR imaging. In general, this research paves the way for a novel field of SHDR imaging which should lead to improved and more realistic representation of captured scenes
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