User evaluation of see-through vision for mobile outdoor augmented reality

Avery, Benjamin; Thomas, Bruce H.; Piekarski, Wayne

doi:10.1109/ismar.2008.4637327

Cited by 31 publications

(15 citation statements)

References 9 publications

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“…Tsuda et al [2005] used five different techniques to visualize obscured information, including ground grids. Avery et al [2008] built a system to evaluate the see-through vision: outdoors; and in an improved version, Avery et al [2009] used multiple viewpoints to enhance the depth interpretation with "tunnel cut-out visualization" and edge overlay. In addition, Dey et al [2010] compared "Melt"-visualization to the X-ray with edge information of an occluding object and showed that Meltvisualization outperformed this alternative.…”

Section: Related Researchmentioning

confidence: 99%

Improving relative depth judgments in augmented reality with auxiliary augmentations

Kytö

Mäkinen

Häkkinen

et al. 2013

ACM Trans. Appl. Percept.

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Significant depth judgment errors are common in augmented reality. This study presents a visualization approach for improving relative depth judgments in augmented reality. The approach uses auxiliary augmented objects in addition to the main augmentation to support ordinal and interval depth judgment tasks. The auxiliary augmentations are positioned spatially near real-world objects, and the location of the main augmentation can be deduced based on the relative depth cues between the augmented objects. In the experimental part, the visualization approach was tested in the "X-ray" visualization case with a video see-through system. Two relative depth cues, in addition to motion parallax, were used between graphical objects: relative size and binocular disparity. The results show that the presence of auxiliary objects significantly reduced errors in depth judgment. Errors in judging the ordinal location with respect to a wall (front, at, or behind) and judging depth intervals were reduced. In addition to reduced errors, the presence of auxiliary augmentation increased the confidence in depth judgments, and it was subjectively preferred. The visualization approach did not have an effect on the viewing time. ACM Reference Format:Kytö, M., Mäkinen, A., Häkkinen, J., and Oittinen, P. 2013. Improving relative depth judgments in augmented reality with auxiliary augmentations.

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Section: Related Researchmentioning

confidence: 99%

Improving relative depth judgments in augmented reality with auxiliary augmentations

Kytö

Mäkinen

Häkkinen

et al. 2013

ACM Trans. Appl. Percept.

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show abstract

“…8 Computercreated views of occluded items and locales appear in the user's vision of the situation. Our initial AR x-ray vision system employed wireframe models textured with video images captured from the outdoor environment.…”

Section: Distributive Vr/armentioning

confidence: 99%

Through-Walls Collaboration

Piekarski

Thomas

2009

IEEE Pervasive Comput.

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Published by the IEEE CS n 1536-1268/09/$25.00 © 2009 IEEE C r o s s -r e a l i t y e n v i r o n m e n t s A t the University of South Australia, we've been developing and evaluating technologies to support through-walls collaboration, in which users in an intelligent meeting room can work in real time with field operatives to view and manipulate data. The users in the field have first-hand knowledge of the current problem, whereas the indoor users have access to reference materials, a global picture, and more advanced technology-putting the two together in near real time should immensely improve collaboration between all parties. We use augmented reality (AR), the registration of projected computer-generated images over a user's view of the physical world, as a core technology to convey information (see Figure 1). With this extra information, users can enhance or augment the physical world beyond their normal experience.Spatially located information relative to a user's context or situation can improve their understanding of the world at hand. The goal of this project is to bring collaboration tools into the hands of people working under very demanding conditions. These tools will provide a much better understanding of the complex circumstances that require people both in a control center and in the field. Disaster relief scenarios?Imagine a cyclone inflicts extensive damage on Queensland's coast. Two immediate actions take place: first responders deploy to the affected areas and set up a command-and-control center, with people in the field providing information to the center. Control center personnel will use this data to direct resources to the appropriate places.If the field operatives come equipped with AR wearable computer technology, they can more accurately provide their commanders a picture of the affected area's current state. AR wearable computer technology can provide digital images, videos, and voice information that are geospatially mapped to the recording point, all of which will give control center personnel better situational awareness. Using mobile AR systems, the field operatives can define annotated regions on the ground, denoting dangerous areas, completed searches, and areas that require immediate attention. The field operatives can also quickly edit 3D representations of buildings to show which portions have been damaged. Control center personnel can then direct field operatives to investigate particular areas by marking a digital 3D map that reflects the physical world viewed by the user in the field through AR technology.As another example, suppose an expert needs to shut down a chemical plant in reaction to an emergency and can't get there in time. To walk a field operative through the procedure, the video camera mounted on his helmet will let the control center-based expert see what the field operative sees. The expert can then speak and provide diagrams, images, and highlight regions of importance over the field operative's view. If he or she sees 12 levers, the expert merely circles ...

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“…Since smartphones have become widespread and its computing power has risen, applications have been developed for personal identification using sensors, GPS and AR (augmented reality) [4][5][6]. Several services, such as "Sekai camera [7]," "Layar [8]," display information that is derived from GPS data, and tags either printed on books or attached on objects using AR.…”

Section: Introduction mentioning

confidence: 99%

AR Display Method of a Person’s Identifier near the Head on a Camera Screen Based on the GPS Information and Face Detection Using Ad hoc and P2P Networking

Gotou¹,

Takami²

2016

CTA

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Abstract:The spread of social media has increased contacts of members of communities on the Internet. Members of these communities often use account names instead of real names. When they meet in the real world, they will find it useful to have a tool that enables them to associate the faces in front of them with the account names they know. This paper proposes a method that enables a person to identify the account name of the person ("target") in front of him/her using a smartphone. The attendees to a meeting exchange their identifiers (i.e., the account name) and GPS information using smartphones. When the user points his/her smartphone towards a target, the target"s identifier is displayed near the target"s head on the camera screen using AR (augmented reality). The position where the identifier is displayed is calculated from the differences in longitude and latitude between the user and the target and the azimuth direction of the target from the user. The target is identified based on this information, the face detection coordinates, and the distance between the two. The proposed method has been implemented using Android terminals, and identification accuracy has been examined through experiments.

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User evaluation of see-through vision for mobile outdoor augmented reality

Cited by 31 publications

References 9 publications

Improving relative depth judgments in augmented reality with auxiliary augmentations

Improving relative depth judgments in augmented reality with auxiliary augmentations

Through-Walls Collaboration

AR Display Method of a Person’s Identifier near the Head on a Camera Screen Based on the GPS Information and Face Detection Using Ad hoc and P2P Networking

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