scispace - formally typeset
Search or ask a question
Journal ArticleDOI

Telepresence: Virtual Reality in the Real World [Special Reports]

01 Nov 2011-IEEE Signal Processing Magazine (IEEE)-Vol. 28, Iss: 6, pp 9-142
TL;DR: Telepresence, an emerging teleconferencing technology that's designed to not only connect people together but to make them feel like they're all collaborating together inside the same room, is introduced.
Abstract: Imagine a teleconferencing system that's so realistic, so natural, that you feel you could reach out and shake a participant's hand, even though the individual may be sitting in a room hundreds or even thousands of miles away. That's the idea behind telepresence, an emerging teleconferencing technology that's designed to not only connect people together but to make them feel like they're all collaborating together inside the same room.

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI
TL;DR: In this article, an artificial neural network (ANN) was used to predict the exergetic efficiency of a natural gas liquid (NGL) process under a wide range of operating conditions, and the results showed that ACOR is highly effective to optimize the performance of the neural networks to predict overall exergy efficiency.
Abstract: The major objective of the study is to make exergy analysis of natural gas liquid (NGL) process more understandable by coupling it with the use of an artificial neural network modeling. The presented method permits to provide an energy diagnosis of the process under a wide range of operating conditions. As a case study, Siri Island NGL Recovery in Iran is considered. The Aspen Plus process simulator linked with MATLAB Software was used to obtain thermodynamic properties of the process streams and to perform exergy balances. The results are validated with industrial data. The exergy destruction and exergetic efficiency for the main system components and for the entire system were calculated. Major sources of irreversibility in the process are identified, and the best conditions for process improvement are presented. The simulation results reveal that the exergetic losses of the separation towers, heating/cooling equipment, and compression/expansion section obtain the highest rank among the other components of the plant. The results show that the overall exergetic efficiency of the system is about 61%. After proposing new operational conditions, another exergetic analysis was made that caused a decrease of 6% in the exergetic losses of the entire system. Then, the recorded and calculated data are used as inputs for the neural network. The results show that ACOR is highly effective to optimize the performance of the neural networks to predict overall exergy efficiency. This method was compared with other current methods, and the results indicated that the integrated n Ant Colony Optimization-Back Propagation (ACOR-BP) provides the least error on the testing dataset. © 2014 Curtin University of Technology and John Wiley & Sons, Ltd.

12 citations

Journal ArticleDOI
TL;DR: Technical specification indicates that the 3DMVIS with its telepresence system satisfies the requirements of practical applications.
Abstract: Three dimensional (3-D) visual immersive system provides a better experience of virtual or remote environments compared with 2-D vision and is thus becoming one of the most active research fields of virtual reality. This paper describes how a 3-D multimode visual immersive system (3DMVIS) is developed, including system architecture, triplet lens module, head orientation tracking circuit, display module, and sensor signal processing. It supports two operation modes for different applications, corresponding to different combinations of lens. As a portable head-mounted display (HMD) device, it can be used in extensive virtual reality and telepresence applications. In addition, this HMD provides visual accommodation with the aid of manual focus and compatibility with various types of 3-D videos. Hence, users with various levels of myopia can experience this facility without wearing glasses. Meanwhile, a typical application in telepresence is investigated along with a compact panoramic camera system. The 3DMVIS is tested and evaluated with various virtual reality scenes, standard-format 3-D movies, and real-world 360° panoramic videos. In addition, comparisons with other commercial counterparts are presented. Technical specification indicates that the 3DMVIS with its telepresence system satisfies the requirements of practical applications.

9 citations

Book ChapterDOI
01 Jan 2018
TL;DR: ‘Applications of virtual reality’ documents some of the wider applications of VR and considers the value of good sound design across such applications, taking a look at data visualisation, telepresence, education, creative applications, rapid product prototyping and health applications.
Abstract: ‘Applications of virtual reality’ documents some of the wider applications of VR and considers the value of good sound design across such applications. Here, we take a look at data visualisation, telepresence, education, creative applications, rapid product prototyping and health applications. Throughout this chapter, sound is positioned as an underappreciated yet vitally powerful contributor across all wider applications of VR; from increasing the ease of comprehension in VR visualisations, enabling more complex data sets to be more readily interpreted, to facilitating the retention of more information in an eLearning application by increasing users’ engagement and immersion in the material.

8 citations

Journal ArticleDOI
TL;DR: This paper introduces a cost-efficient immersive teleconference system that is composed of a set of robotic devices and web-based control/monitoring interfaces for human-robot-avatar interaction and describes how a human head motion is captured, synchronized with a robot in the real world, and rendered through an 3-D avatar in the augmented world for human
Abstract: This paper introduces a cost-efficient immersive teleconference system. Especially to enhance immersive interaction capability during one-to-many telecommunication, this paper concentrates on the design of a teleconference system that is composed of a set of robotic devices and web-based control/monitoring interfaces for human-robot-avatar interaction. To this end, we first propose a serverclient network model for human-machine interaction systems based on the latest HTML5 technology. As a hardware system for teleconferencing, the simplest robot is designed specially for remote users to be able to experience augmented reality naturally on live scenes. Modularized software systems are then explained in view of accessibility and functionality. This paper also describes how a human head motion is captured, synchronized with a robot in the real world, and rendered through an 3-D avatar in the augmented world for human-robot-avatar interaction. Finally, the proposed system is evaluated through a questionnaire survey that follows a series of user-experience tests.

6 citations

01 Jan 2017

6 citations


Cites background from "Telepresence: Virtual Reality in th..."

  • ...Research on telepresence, largely conducted in communication and business fields, has grown to understand immersion in a virtual environment to be a product of the richness of the media and the level of interactivity available to users (Edwards, 2011; Klein, 2002; Steuer, 1992)....

    [...]

References
More filters
Journal ArticleDOI
TL;DR: In this article, a structural similarity index is proposed for image quality assessment based on the degradation of structural information, which can be applied to both subjective ratings and objective methods on a database of images compressed with JPEG and JPEG2000.
Abstract: Objective methods for assessing perceptual image quality traditionally attempted to quantify the visibility of errors (differences) between a distorted image and a reference image using a variety of known properties of the human visual system. Under the assumption that human visual perception is highly adapted for extracting structural information from a scene, we introduce an alternative complementary framework for quality assessment based on the degradation of structural information. As a specific example of this concept, we develop a structural similarity index and demonstrate its promise through a set of intuitive examples, as well as comparison to both subjective ratings and state-of-the-art objective methods on a database of images compressed with JPEG and JPEG2000. A MATLAB implementation of the proposed algorithm is available online at http://www.cns.nyu.edu//spl sim/lcv/ssim/.

40,609 citations

Journal ArticleDOI
TL;DR: This work addresses the image denoising problem, where zero-mean white and homogeneous Gaussian additive noise is to be removed from a given image, and uses the K-SVD algorithm to obtain a dictionary that describes the image content effectively.
Abstract: We address the image denoising problem, where zero-mean white and homogeneous Gaussian additive noise is to be removed from a given image. The approach taken is based on sparse and redundant representations over trained dictionaries. Using the K-SVD algorithm, we obtain a dictionary that describes the image content effectively. Two training options are considered: using the corrupted image itself, or training on a corpus of high-quality image database. Since the K-SVD is limited in handling small image patches, we extend its deployment to arbitrary image sizes by defining a global image prior that forces sparsity over patches in every location in the image. We show how such Bayesian treatment leads to a simple and effective denoising algorithm. This leads to a state-of-the-art denoising performance, equivalent and sometimes surpassing recently published leading alternative denoising methods

5,493 citations

Journal ArticleDOI
TL;DR: An image information measure is proposed that quantifies the information that is present in the reference image and how much of this reference information can be extracted from the distorted image and combined these two quantities form a visual information fidelity measure for image QA.
Abstract: Measurement of visual quality is of fundamental importance to numerous image and video processing applications. The goal of quality assessment (QA) research is to design algorithms that can automatically assess the quality of images or videos in a perceptually consistent manner. Image QA algorithms generally interpret image quality as fidelity or similarity with a "reference" or "perfect" image in some perceptual space. Such "full-reference" QA methods attempt to achieve consistency in quality prediction by modeling salient physiological and psychovisual features of the human visual system (HVS), or by signal fidelity measures. In this paper, we approach the image QA problem as an information fidelity problem. Specifically, we propose to quantify the loss of image information to the distortion process and explore the relationship between image information and visual quality. QA systems are invariably involved with judging the visual quality of "natural" images and videos that are meant for "human consumption." Researchers have developed sophisticated models to capture the statistics of such natural signals. Using these models, we previously presented an information fidelity criterion for image QA that related image quality with the amount of information shared between a reference and a distorted image. In this paper, we propose an image information measure that quantifies the information that is present in the reference image and how much of this reference information can be extracted from the distorted image. Combining these two quantities, we propose a visual information fidelity measure for image QA. We validate the performance of our algorithm with an extensive subjective study involving 779 images and show that our method outperforms recent state-of-the-art image QA algorithms by a sizeable margin in our simulations. The code and the data from the subjective study are available at the LIVE website.

3,146 citations

Journal ArticleDOI
TL;DR: This article has reviewed the reasons why people want to love or leave the venerable (but perhaps hoary) MSE and reviewed emerging alternative signal fidelity measures and discussed their potential application to a wide variety of problems.
Abstract: In this article, we have reviewed the reasons why we (collectively) want to love or leave the venerable (but perhaps hoary) MSE. We have also reviewed emerging alternative signal fidelity measures and discussed their potential application to a wide variety of problems. The message we are trying to send here is not that one should abandon use of the MSE nor to blindly switch to any other particular signal fidelity measure. Rather, we hope to make the point that there are powerful, easy-to-use, and easy-to-understand alternatives that might be deployed depending on the application environment and needs. While we expect (and indeed, hope) that the MSE will continue to be widely used as a signal fidelity measure, it is our greater desire to see more advanced signal fidelity measures being used, especially in applications where perceptual criteria might be relevant. Ideally, the performance of a new signal processing algorithm might be compared to other algorithms using several fidelity criteria. Lastly, we hope that we have given further motivation to the community to consider recent advanced signal fidelity measures as design criteria for optimizing signal processing algorithms and systems. It is in this direction that we believe that the greatest benefit eventually lies.

2,601 citations

Proceedings ArticleDOI
17 May 2004
TL;DR: This work proposes an information fidelity criterion that quantifies the Shannon information that is shared between the reference and distorted images relative to the information contained in the reference image itself, and demonstrates the performance of the algorithm by testing it on a data set of 779 images.
Abstract: Measurement of image quality is crucial for many image-processing algorithms. Traditionally, image quality assessment algorithms predict visual quality by comparing a distorted image against a reference image, typically by modeling the human visual system (HVS), or by using arbitrary signal fidelity criteria. We adopt a new paradigm for image quality assessment. We propose an information fidelity criterion that quantifies the Shannon information that is shared between the reference and distorted images relative to the information contained in the reference image itself. We use natural scene statistics (NSS) modeling in concert with an image degradation model and an HVS model. We demonstrate the performance of our algorithm by testing it on a data set of 779 images, and show that our method is competitive with state of the art quality assessment methods, and outperforms them in our simulations.

1,349 citations