41,255 research outputs found
Smartphone app with usage of AR technologies - SolAR System
The article describes the AR mobile system for Sun system simulation. The
main characteristics of AR systems architecture are given. The differences
between tracking and without tracking technics are underlined. The architecture
of the system of use of complemented reality for the study of astronomy is
described. The features of the system and the principles of its work are
determined.Comment: 6 pages,9 figure
CloudAR: A Cloud-based Framework for Mobile Augmented Reality
Computation capabilities of recent mobile devices enable natural feature
processing for Augmented Reality (AR). However, mobile AR applications are
still faced with scalability and performance challenges. In this paper, we
propose CloudAR, a mobile AR framework utilizing the advantages of cloud and
edge computing through recognition task offloading. We explore the design space
of cloud-based AR exhaustively and optimize the offloading pipeline to minimize
the time and energy consumption. We design an innovative tracking system for
mobile devices which provides lightweight tracking in 6 degree of freedom
(6DoF) and hides the offloading latency from users' perception. We also design
a multi-object image retrieval pipeline that executes fast and accurate image
recognition tasks on servers. In our evaluations, the mobile AR application
built with the CloudAR framework runs at 30 frames per second (FPS) on average
with precise tracking of only 1~2 pixel errors and image recognition of at
least 97% accuracy. Our results also show that CloudAR outperforms one of the
leading commercial AR framework in several performance metrics
Interaction Methods for Smart Glasses
Since the launch of Google Glass in 2014, smart glasses have mainly been
designed to support micro-interactions. The ultimate goal for them to become an
augmented reality interface has not yet been attained due to an encumbrance of
controls. Augmented reality involves superimposing interactive computer
graphics images onto physical objects in the real world. This survey reviews
current research issues in the area of human computer interaction for smart
glasses. The survey first studies the smart glasses available in the market and
afterwards investigates the interaction methods proposed in the wide body of
literature. The interaction methods can be classified into hand-held, touch,
and touchless input. This paper mainly focuses on the touch and touchless
input. Touch input can be further divided into on-device and on-body, while
touchless input can be classified into hands-free and freehand. Next, we
summarize the existing research efforts and trends, in which touch and
touchless input are evaluated by a total of eight interaction goals. Finally,
we discuss several key design challenges and the possibility of multi-modal
input for smart glasses
Towards Quality of Experience Determination for Video in Augmented Binocular Vision Scenarios
With the continuous growth in the consumer markets of mobile smartphones and
increasingly in augmented reality wearable devices, several avenues of research
investigate the relationships between the quality perceived by mobile users and
the delivery mechanisms at play to support a high quality of experience for
mobile users. In this paper, we present the first study that evaluates the
relationships of mobile movie quality and the viewer-perceived quality thereof
in an augmented reality setting with see-through devices. We find that
participants tend to overestimate the video quality and exhibit a significant
variation of accuracy that leans onto the movie content and its dynamics. Our
findings, thus, can broadly impact future media adaptation and delivery
mechanisms for this new display format of mobile multimedia.Comment: Accepted to Signal Processing: Image Communicatio
An Improved Tracking using IMU and Vision Fusion for Mobile Augmented Reality Applications
Mobile Augmented Reality (MAR) is becoming an important cyber-physical system
application given the ubiquitous availability of mobile phones. With the need
to operate in unprepared environments, accurate and robust registration and
tracking has become an important research problem to solve. In fact, when MAR
is used for tele-interactive applications involving large distances, say from
an accident site to insurance office, tracking at both the ends is desirable
and further it is essential to appropriately fuse inertial and vision sensors
data. In this paper, we present results and discuss some insights gained in
marker-less tracking during the development of a prototype pertaining to an
example use case related to breakdown or damage assessment of a vehicle. The
novelty of this paper is in bringing together different components and modules
with appropriate enhancements towards a complete working system
Mobile Head Tracking for eCommerce and Beyond
Shopping is difficult for people with motor impairments. This includes online
shopping. Proprietary software can emulate mouse and keyboard via head
tracking. However, such a solution is not common for smartphones. Unlike
desktop and laptop computers, they are also much easier to carry indoors and
outdoors.To address this, we implement and open source button that is sensitive
to head movements tracked from the front camera of iPhone X. This allows
developers to integrate in eCommerce applications easily without requiring
specialized knowledge. Other applications include gaming and use in hands-free
situations such as during cooking, auto-repair. We built a sample online
shopping application that allows users to easily browse between items from
various categories and take relevant action just by head movements. We present
results of user studies on this sample application and also include sensitivity
studies based on two independent tests performed at 3 different distances to
the screen.Comment: 10 pages, 5 figure
A Low Cost Vision Based Hybrid Fiducial Mark Tracking Technique for Mobile Industrial Robots
The field of robotic vision is developing rapidly. Robots can react
intelligently and provide assistance to user activities through sentient
computing. Since industrial applications pose complex requirements that cannot
be handled by humans, an efficient low cost and robust technique is required
for the tracking of mobile industrial robots. The existing sensor based
techniques for mobile robot tracking are expensive and complex to deploy,
configure and maintain. Also some of them demand dedicated and often expensive
hardware. This paper presents a low cost vision based technique called Hybrid
Fiducial Mark Tracking (HFMT) technique for tracking mobile industrial robot.
HFMT technique requires off-the-shelf hardware (CCD cameras) and printable 2-D
circular marks used as fiducials for tracking a mobile industrial robot on a
pre-defined path. This proposed technique allows the robot to track on a
predefined path by using fiducials for the detection of Right and Left turns on
the path and White Strip for tracking the path. The HFMT technique is
implemented and tested on an indoor mobile robot at our laboratory.
Experimental results from robot navigating in real environments have confirmed
that our approach is simple and robust and can be adopted in any hostile
industrial environment where humans are unable to work.Comment: 6 pages, 7 figure
Vision-based Pose Estimation for Augmented Reality : A Comparison Study
Augmented reality aims to enrich our real world by inserting 3D virtual
objects. In order to accomplish this goal, it is important that virtual
elements are rendered and aligned in the real scene in an accurate and visually
acceptable way. The solution of this problem can be related to a pose
estimation and 3D camera localization. This paper presents a survey on
different approaches of 3D pose estimation in augmented reality and gives
classification of key-points-based techniques. The study given in this paper
may help both developers and researchers in the field of augmented reality.Comment: IEEE International Conference on Pattern Analysis and Intelligent
Systems PAIS'201
Virtual Reality based Learning Systems
This article is based on studies of the existing literature, focusing on the
states-of-the-arts on virtual reality (VR) and its potential uses in learning.
Different platforms have been used to improve the learning effects of VR that
offers exciting opportunities in various fields. As more and more students want
in a distance, part-time, or want to continue their education, VR has attracted
considerable attention in learning, training, and traditional education. VR
based learning enables operators to bring together all disciplinary resources
in a common playground. The VR base multimedia platform has successfully
demonstrated great potential of education and training. In this paper, we will
discuss existing systems and their uses and address the technical challenges
and future directions.Comment: Computer Communication Technology, 201
Artificial Intelligence Assisted Infrastructure Assessment Using Mixed Reality Systems
Conventional methods for visual assessment of civil infrastructures have
certain limitations, such as subjectivity of the collected data, long
inspection time, and high cost of labor. Although some new technologies i.e.
robotic techniques that are currently in practice can collect objective,
quantified data, the inspectors own expertise is still critical in many
instances since these technologies are not designed to work interactively with
human inspector. This study aims to create a smart, human centered method that
offers significant contributions to infrastructure inspection, maintenance,
management practice, and safety for the bridge owners. By developing a smart
Mixed Reality framework, which can be integrated into a wearable holographic
headset device, a bridge inspector, for example, can automatically analyze a
certain defect such as a crack that he or she sees on an element, display its
dimension information in real-time along with the condition state. Such systems
can potentially decrease the time and cost of infrastructure inspections by
accelerating essential tasks of the inspector such as defect measurement,
condition assessment and data processing to management systems. The human
centered artificial intelligence will help the inspector collect more
quantified and objective data while incorporating inspectors professional
judgement. This study explains in detail the described system and related
methodologies of implementing attention guided semi supervised deep learning
into mixed reality technology, which interacts with the human inspector during
assessment. Thereby, the inspector and the AI will collaborate or communicate
for improved visual inspection.Comment: 5,240 word texts, 3 tables, 14 figures. Transportation Research
Record: Journal of the Transportation Research Board, 201
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