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Telepresence: Virtual Reality in the Real World

01 Jan 2011-
TL;DR: Zhang et al. as mentioned in this paper proposed telepresence, an emerging teleconferencing technology that was designed to connect people together and to make them feel like they were all collaborating together inside the same room.
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. Telepresence provides an immersive meeting experience based on the highest possible levels of audio and video clarity. Ideally, participants are life-sized. Ide ally, every sound, gesture, and facial expression are replicated in high-definition (HD) video and high-fidelity surround sound. The ultimate goal is to make telepresence and in-person meetings virtually indistinguishable from each other. “Telepresence has a great potential for getting people to work together collaboratively, efficiently, and naturally regardless of their physical location,” observes Zhengyou Zhang, a principal researcher focusing on telepresence technologies at Microsoft Research in Redmond, Washington. With business becoming increasingly global, and travel getting ever more expensive and cumbersome, telepresence’s popularity is soaring.
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BookDOI
10 Jan 2017
TL;DR: In this article, the authors present a research agenda for the U.S. legal system to address the potential to violate individuals' constitutional rights, especially due process, in criminal justice proceedings.
Abstract: The expansion of technological capability has changed the types of data routinely collected about citizens, which has potential utility in criminal justice proceedings. But these capabilities also have the potential to infringe on individuals' constitutional rights, especially to due process. In this report, RAND researchers, with the help of an advisory panel, craft a research agenda to help prepare the U.S. legal system to address these issues.

14 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

Proceedings ArticleDOI
09 Jul 2018
TL;DR: This paper aims to study how virtual reality with telepresence robots can be used to create virtually inclusive classrooms that provide better educational opportunities for homebound students with disabilities.
Abstract: Major progress has been made towards increasing access to education at all levels and increasing enrolment rates in schools but in order to ensure inclusive quality education for all, a new delivery method that caters to educating homebound disabled children is needed. This paper aims to study how virtual reality with telepresence robots can be used to create virtually inclusive classrooms that provide better educational opportunities for homebound students with disabilities.

8 citations


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

  • ...John Edwards[8], in a research article, highlighted the use of teleconferencing using bots with 360 degree panoramic cameras....

    [...]

Proceedings ArticleDOI
15 Mar 2020
TL;DR: A prototype of a mobile AR application to deliver lessons for training in robotic automation for construction industry workers is demonstrated and the goal is to evaluate the effectiveness of the AR application by gauging participants’ performance using pre and post surveys.
Abstract: Advancements in Artificial Intelligence (AI), Information Technology, Augmented Reality (AR) and Virtual Reality (VR), and Robotic Automation is transforming jobs in the Architecture, Engineering and Construction (AEC) industries. However, it is also expected that these technologies will lead to job displacement, alter skill profiles for existing jobs, and change how people work. Therefore, preparing the workforce for an economy defined by these technologies is imperative. This ongoing research focuses on developing an immersive learning training curriculum to prepare the future workforce of the building industry. In this paper we are demonstrating a prototype of a mobile AR application to deliver lessons for training in robotic automation for construction industry workers. The application allows a user to interact with a virtual robot manipulator to learn its basic operations. The goal is to evaluate the effectiveness of the AR application by gauging participants’ performance using pre and post surveys.

8 citations


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

  • ...Telepresence [13,14] is another area of potential impact where AR and VR can play a significant role by allowing a remote operator to interact with the world through a communication link....

    [...]

Proceedings ArticleDOI
01 Oct 2016
TL;DR: To achieve this, a method to enhance the sensation of presence for the operator who inhabits a virtual avatar by increasing the sense of body ownership is introduced.
Abstract: The sense of proximity to a virtual context requires a diverse set of cues that gives a participant a sense of presence in a virtual space. The goal of our research is to provide a sense of body ownership of a virtual entity represented by a humanoid avatar or other virtual manifestation of a surrogate in virtual reality environment for sharing not only a space but also an experience. In essence, we seek a sense of Presence that transports the operator to the space inhabited by the virtual avatar in a virtual space. To arouse this sense of presence in a virtual space, we are testing a hypothesis that seeing one's own body from a first person point-of-view in the remote context is a critical element of "being there." To achieve this we introduce a method to enhance the sensation of presence for the operator who inhabits a virtual avatar by increasing the sense of body ownership.

3 citations


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

  • ...The concept of the “Being There Centre” [1] is a good example for social presence in general....

    [...]

References
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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