Real-time positioning for augmented reality on a custom parallel machine

Johnston, David; Fleury, Martin; Downton, A.C.; Clark, Adrian

doi:10.1016/j.imavis.2003.08.002

Cited by 11 publications

(5 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The pattern design was based on RAG (region adjacency graph) with two parts namely key and the identifier one of which indicated that this shape is a marker and the second differentiated between different markers in the system. VPS was also applied on a parallel architecture in [12] and it was shown that parallelization improved the performance of some parts in the system for real-time operation.…”

Section: Indoor Techniquesmentioning

confidence: 99%

User Tracking Methods for Augmented Reality

Bostancı¹,

Kanwal²,

Ehsan³

et al. 2013

IJCTE

View full text Add to dashboard Cite

Augmented reality has been an active area of research for the last two decades or so. This paper presents a comprehensive review of the recent literature on tracking methods used in Augmented Reality applications, both for indoor and outdoor environments. After critical discussion of the methods used for tracking, the paper identifies limitations of the state-of-the-art techniques and suggests potential future directions to overcome the bottlenecks.

show abstract

Section: Indoor Techniquesmentioning

confidence: 99%

User Tracking Methods for Augmented Reality

Bostancı¹,

Kanwal²,

Ehsan³

et al. 2013

IJCTE

View full text Add to dashboard Cite

show abstract

“…Klopfer & Squire [9]pointed that AR provide a layer of data that users' experience of reality by connecting data on the multimedia. Johnston et al [10] and Siegl et al [11] presented that AR should be defined as an integration of the real and virtual environments that is presented at real-time. Ong et al [12] supplemented this definition by noting that the basis of AR is in a human-machine interface characterized by an integration of the virtual and real worlds that can carry out real-time interactions as well.…”

Section: Review Of Literaturementioning

confidence: 99%

Study on Augmented Reality as a Teaching Aid for Handicapped Children

Lin

Hung

Lin³

et al. 2010

KEM

View full text Add to dashboard Cite

This study looked at the use of augmented reality to combine real scenery with virtual sound to improve the interactivity of teaching aid and provide handicapped children with a more intuitive learning method. The focus is on the development of augmented reality applications for special education. The key components are identifying tags for augmented reality, web-cam device and image processing device. The study was divided into preparation phase and experiment phase. The preparation phase was used to train teacher involved in this study while the experiment phase generated feedback from the actual use of this system by handicapped children who were the subjects of the study. The system was used for children from 4th grade to 8th grade. The design of the teaching materials offered both the teachers and the handicapped children a novel learning method.

show abstract

“…A marker is a distinguishable element placed in the environment so it can be identified apart from other objects [21]. Once the marker is detected then the pose of the camera can be obtained and models can be rendered on the camera image.…”

Section: Introductionmentioning

confidence: 99%

Augmented reality applications for cultural heritage using Kinect

Bostancı

Kanwal

Clark

2015

Hum. Cent. Comput. Inf. Sci.

View full text Add to dashboard Cite

IntroductionAugmented Reality (AR) combines real world imagery with synthetic content generated by a computer. The first comprehensive review of AR [1] identified a broad range of applications of this technology, including medicine, manufacturing and robot path planning. Subsequently, AR has been applied in cultural heritage [2] such as the reconstruction of ancient Olympia in Greece [3,4]. Although it is reported that AR enriches human perception [5] in general, the principal reason for performing AR reconstructions in cultural heritage is that the owners of sites are usually reticent to permit physical reconstructions in situ so that the archaeology remains undisturbed for future generations [3].Developments in multimedia technology facilitate the learning experience in cultural heritage [6] with the aid of improved user interaction methods. Developed models or virtual tours in reconstructions of archaeological sites (e.g. [7,8]) provide entertaining means of learning. However, ex situ reconstructions such as models and movies are difficult to visualize in the context of the archaeological remains. AR reconstructions can be produced in situ with minimal physical disturbance, an attractive property, even though they may take a significant time to develop [9].There are several forms that AR reconstructions may take, and the work reported here is directed towards a kind of 'historical mirror, ' in which virtual buildings are built around flat surfaces visible in the real world and human participants are clothed appropriately for the historical period. The literature presents examples of using Kinect for cultural heritage [10][11][12]. It was used as a 3D scanner in the work given in [10] and as a Abstract This paper explores the use of data from the Kinect sensor for performing augmented reality, with emphasis on cultural heritage applications. It is shown that the combination of depth and image correspondences from the Kinect can yield a reliable estimate of the location and pose of the camera, though noise from the depth sensor introduces an unpleasant jittering of the rendered view. Kalman filtering of the camera position was found to yield a much more stable view. Results show that the system is accurate enough for in situ augmented reality applications. Skeleton tracking using Kinect data allows the appearance of participants to be augmented, and together these facilitate the development of cultural heritage applications. Bostanci et al. Hum. Cent. Comput. Inf. Sci. (2015) Hum. Cent. Comput. Inf. Sci. (2015) 5:20 motion tracker to navigate in virtual reality reconstructions in [11,12]. User experience for large screens with Kinect in a cultural heritage setting, such as in an exhibition, has been demonstrated in [13]. This paper uses Kinect to establish 3D world and 2D image correspondences and, from them, determine camera pose. It then finds planar objects within the real world and augments them, the aim being to render the appearance in antiquity in front of real-world features. The advantage of thi...

show abstract

Real-time positioning for augmented reality on a custom parallel machine

Cited by 11 publications

References 27 publications

User Tracking Methods for Augmented Reality

User Tracking Methods for Augmented Reality

Study on Augmented Reality as a Teaching Aid for Handicapped Children

Augmented reality applications for cultural heritage using Kinect

Contact Info

Product

Resources

About