“Please Show Me Inside: Improving the Depth Perception Using Virtual Mask in Stereoscopic AR” – ACM SIGGRAPH HISTORY ARCHIVES

“Please Show Me Inside: Improving the Depth Perception Using Virtual Mask in Stereoscopic AR”

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    Please Show Me Inside: Improving the Depth Perception Using Virtual Mask in Stereoscopic AR

Description:


    A practical application of Augmented Reality (AR) is see-through vision, a technique that enables a user to observe a virtual object located behind a real object by superimposing the virtually visualized inner object onto the real object surface. This technique is considered to be effective in several areas, including medical [Bichlmeier et al. 2007] [Lerotic et al. 2007] [Nicolau et al. 2011] [Sielhorst, et al. 2006] and industrial visualizations [Schall et al. 2009] [Zollmann et al. 2010]. In these applications, one challenge is determining how to cause a virtual object to appear behind a real object surface.

References:


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    [2]
    Avery, B. et al. 2009. Improving spatial perception for augmented reality x-ray vision. In Proc. IEEE VR ’09, 79–82.

    [3]
    Bichlmeier, C. et al. 2007. Contextual anatomic mimesis hybrid in-situ visualization method for improving multi-sensory depth perception in medical augmented reality. In Proc. ISMAR ’07, 1–10.

    [4]
    Furmanski, C. et al. 2002. Augmented-reality visualizations guided by cognition: Perceptual heuristics for combining visible and obscured information. In Proc. ISMAR ’02, 215–224.

    [5]
    Lerotic, M. et al. 2007. pq-space based non-photorealistic rendering for augmented reality. In Proc. MICCAI ’07, 102–109.

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    Mendez, E. et al. 2009. Importance masks for revealing occluded objects in augmented reality. In Proc. the 16th ACM Symp. on Virtual Reality Software and Technology (VRST ’09), 247–248.

    [9]
    Nicolau, S et al. 2011. Augmented reality in laparoscopic surgical oncology. Surgical Oncology, 20 (3), 189–201.

    [10]
    Otsuki, M. et al. 2013. Psychophysical exploration of stereoscopic pseudo-transparency. In Proc. ISMAR 2013, 283–284.

    [11]
    Schall, G. et al. 2009. Handheld augmented reality for underground infrastructure visualization. Personal Ubiquitous Comput. 13 (4), 281–291.

    [12]
    Sielhorst, T. et al. 2006. Depth perception — A major issue in medical AR: Evaluation study by twenty surgeons. In Proc. MICCAI ’06, 364–372.

    [13]
    Tsirlin, I. et al. 2010. Perceptual artifacts in random-dot stereograms. Perception, 39, 349–355.

    [14]
    Zollmann, S. et al. 2010. Image-based ghostings for single layer occlusions in augmented reality. In Proc. ISMAR 2010, 19–26.


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