2010 IEEE International Symposium on Mixed and Augmented Reality 2010
DOI: 10.1109/ismar.2010.5643546
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Image-based ghostings for single layer occlusions in augmented reality

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Cited by 53 publications
(40 citation statements)
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“…Therefore, our blending method may be useful as a new X-ray visualization technique. X-ray visualization methods are extensively studied to make virtual information seen through real foreground surfaces in AR or MR applications [16,21]. It should be noted, however, that our model of perceptual transparency gives no assurance to provide good results when a virtual object is completely occluded.…”
Section: Resultsmentioning
confidence: 99%
“…Therefore, our blending method may be useful as a new X-ray visualization technique. X-ray visualization methods are extensively studied to make virtual information seen through real foreground surfaces in AR or MR applications [16,21]. It should be noted, however, that our model of perceptual transparency gives no assurance to provide good results when a virtual object is completely occluded.…”
Section: Resultsmentioning
confidence: 99%
“…Using simple overlays for visualizing underground objects via an AR XRay view can cause perceptional issues, such as the impression of underground objects floating over the ground. To avoid these problems, it is essential to either decide which parts of the physical scene should be kept and which parts should be replaced by virtual information [13] or which kind of additional virtual depth cues can be provided [14]. A comprehensible visualization should provide users with essential perceptual cues to understand the relationship of depth between hidden information and the physical scene.…”
Section: From Transcoding Layer Data To Comprehensible Geometriesmentioning
confidence: 99%
“…Another methodology is based on the evaluation of real occluding objects' shape by geometrical tracking using stereo matching (Hayashi et al 2005, Fortin andHebert 2006) or direct image segmentation (Tian et al 2010, Zollmann et al 2010.…”
Section: Virtual and Physical Prototypingmentioning
confidence: 99%