Creating automatically aligned consensus realities for AR videoconferencing

Lehment, Nicolas H.; Merget, Daniel; Rigoll, Gerhard

doi:10.1109/ismar.2014.6948428

Cited by 30 publications

(20 citation statements)

References 21 publications

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“…Au et al used an elector voting approach to establish a semantic structural match between two skeletal objects with approximately isometric shapes. Lehment et al presented an automatic alignment method for “merging”İ two remote rooms with different physical layouts into a shared workspace. We have applied some of these approaches (Section 4) to our object‐level based “scene matching” problem, for example, by viewing the whole AR space as a hierarchical 3D scene represented as a scene graph.…”

Section: Related Workmentioning

confidence: 99%

SpaceTime: adaptive control of the teleported avatar for improved AR tele‐conference experience

Kim

2015

Computer Animation & Virtual

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With the continued technology innovation in object sensing and human motion tracking, the traditional two-dimensional video-based tele-conference systems are projected to evolve into the three-dimensional immersive and augmented reality (AR) based on which one can communicate with the teleported remote other as if present, moving and interacting naturally in the same location. One technical hurdle to this vision is the need to resolve the environmental differences and the resulting teleported avatar motion anomaly between the remote and local sites. This paper presents a novel method to first establish a spatial and object-level match between the remote and local sites and adapts the position and motion of the teleported avatar into the local AR space according to the matched information. This results in a natural looking and spatially correct rendering of the remote user in the local augmented space and a significantly improved tele-conference experience and communication performance.

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Section: Related Workmentioning

confidence: 99%

SpaceTime: adaptive control of the teleported avatar for improved AR tele‐conference experience

Kim

2015

Computer Animation & Virtual

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“…Some studies in telepresence [3] determine affine transformation between two spaces and place avatars according the transformation. This approach keeps only the interpersonal relationship in shared free space while not supporting other semantic features.…”

Section: Comparison With Other Approachesmentioning

confidence: 99%

“…Several methods have been developed to tackle this problem, e.g., finding an affine transformation that maximizes shared free spaces [3] or matching sittable regions between two spaces [4], [5] for teleconference. However, these methods allow only sub-regions within whole space to be used for telepresence, and do not provide mapping from an arbitrary placement of one space to the other.…”

Section: Introductionmentioning

confidence: 99%

Placement Retargeting of Virtual Avatars to Dissimilar Indoor Environments

Yoon

Yang

Kim

et al. 2022

IEEE Trans. Visual. Comput. Graphics

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Fig. 1: AR telepresence spaces seen from the perspective views (bottom) of the User X in Space A (left) and User Y in Space B (right), and the egocentric views of the users seeing the avatar of the other party (top). The avatars are placed by our method to preserve the semantics of the placement the other party. Abstract-Rapidly developing technologies are realizing a 3D telepresence, in which geographically separated users can interact with each other through their virtual avatars. In this paper, we present novel methods to determine the avatar's position in an indoor space to preserve the semantics of the user's position in a dissimilar indoor space with different space configurations and furniture layouts. To this end, we first perform a user survey on the preferred avatar placements for various indoor configurations and user placements, and identify a set of related attributes, including interpersonal relation, visual attention, pose, and spatial characteristics, and quantify these attributes with a set of features. By using the obtained dataset and identified features, we train a neural network that predicts the similarity between two placements. Next, we develop an avatar placement method that preserves the semantics of the placement of the remote user in a different space as much as possible. We show the effectiveness of our methods by implementing a prototype AR-based telepresence system and user evaluations.

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“…Some CSCW applications permit participants to have a private view where they manipulate private data, a public view visible by all, and a customized view merging all content. Using egocentric views for private elements allows users to not disturb the workflow of other collaborators, by not [68], [88], [97], [100], [102], [107], [108], [118], [120], [122], [142], [165] ( [101]) 12 + 1 ACM CSCW 2008-2019 [12], [47], [64], [129], [139], [140] 6…”

Section: Multiple 2d Windowsmentioning

confidence: 99%

Collaborative Work in Augmented Reality: A Survey

Sereno¹,

Wang²,

Besançon³

et al. 2020

IEEE Trans. Visual. Comput. Graphics

113

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In Augmented Reality (AR), users perceive virtual content anchored in the real world. It is used in medicine, education, games, navigation, maintenance, product design, and visualization, in both single-user and multi-user scenarios. Multi-user AR has received limited attention from researchers, even though AR has been in development for more than two decades. We present the state of existing work at the intersection of AR and Computer-Supported Collaborative Work (AR-CSCW), by combining a systematic survey approach with an exploratory, opportunistic literature search. We categorize 65 papers along the dimensions of space, time, role symmetry (whether the roles of users are symmetric), technology symmetry (whether the hardware platforms of users are symmetric), and output and input modalities. We derive design considerations for collaborative AR environments, and identify under-explored research topics. These include the use of heterogeneous hardware considerations and 3D data exploration research areas. This survey is useful for newcomers to the field, readers interested in an overview of CSCW in AR applications, and domain experts seeking up-to-date information.

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Creating automatically aligned consensus realities for AR videoconferencing

Cited by 30 publications

References 21 publications

SpaceTime: adaptive control of the teleported avatar for improved AR tele‐conference experience

SpaceTime: adaptive control of the teleported avatar for improved AR tele‐conference experience

Placement Retargeting of Virtual Avatars to Dissimilar Indoor Environments

Collaborative Work in Augmented Reality: A Survey

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