2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) 2020
DOI: 10.1109/vr46266.2020.1581503942658
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Cited by 4 publications
(25 citation statements)
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“…Previous work has proposed different approaches to protect the user from obstacles (people or objects), such as displaying parts of the real environment [14,20,44], virtual alerts [24,40], or calculating alternative navigation paths [19,31,43] without making users aware of it. "Chaperone" systems of current commercial HMDs, such as the HTC Vive, are now widespread in their role of protecting users from leaving the bounds of the designated interaction space where they are safe from obstacles.…”
Section: Introductionmentioning
confidence: 99%
“…Previous work has proposed different approaches to protect the user from obstacles (people or objects), such as displaying parts of the real environment [14,20,44], virtual alerts [24,40], or calculating alternative navigation paths [19,31,43] without making users aware of it. "Chaperone" systems of current commercial HMDs, such as the HTC Vive, are now widespread in their role of protecting users from leaving the bounds of the designated interaction space where they are safe from obstacles.…”
Section: Introductionmentioning
confidence: 99%
“…However, both solutions produce signals that are completely out of context. [12] proposed an obstacle awareness method which replaces the real-world obstacles by virtual obstacles (such as stones, rocks and hills). Although this method can help users avoid the obstacles in the real world, its monotonous virtual substitutes usually do not conform to the context of the virtual scene, thus affecting the sense of presence.…”
Section: Obstacle Awareness In Virtual Realitymentioning
confidence: 99%
“…design datasets, the selection of virtual objects for replacement in our work is not limited to some specific obstacle types [12], and the generation of virtual scenes does not need to rely on complex rules [10]. As shown in Figure 1b, the workflow of our system includes: (i) reconstructing the 3D scene of the HMD user's surrounding environment and detecting the objects in the active area, (ii) detecting the interactive surfaces in the scene and identifying the areas occupied by different objects, (iii) extracting the association relations and layout patterns between different objects from the virtual scene dataset, and (iv) substituting the real scene with virtual objects under the constraints of geometry and contextual consistency.…”
Section: System Overviewmentioning
confidence: 99%
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