Moving Towards Consistent Depth Perception in Stereoscopic Projection-based Augmented Reality

Stereoscopic projection-based augmented reality (AR) is a promising technology for creating an effective illusion of virtual and real objects coexisting within the same space. By using projection technology, two-dimensional (2D) textures as well as three-dimensional (3D) virtual objects can be displayed on arbitrary physical objects. However, depending on the geometry of the projection surface, even a single virtual object could be projected with varying depths, orientations, and forms. For these reasons, it is an open question whether or not a geometrically-correct projection leads to a consistent depth perception of the

[1]  Andrew Wilson,et al.  MirageTable: freehand interaction on a projected augmented reality tabletop , 2012, CHI.

[2]  Ross T. Smith,et al.  Depth Perception in View-Dependent Near-Field Spatial AR , 2014, AUIC.

[3]  Stephen R. Ellis,et al.  Localization of Virtual Objects in the Near Visual Field , 1998, Hum. Factors.

[4]  David M. Hoffman,et al.  Vergence-accommodation conflicts hinder visual performance and cause visual fatigue. , 2008, Journal of vision.

[5]  Geb Thomas,et al.  Surface Textures Improve the Robustness of Stereoscopic Depth Cues , 2002, Hum. Factors.

[6]  Steven K. Feiner,et al.  Perceptual issues in augmented reality revisited , 2010, 2010 IEEE International Symposium on Mixed and Augmented Reality.

[7]  Eyal Ofek,et al.  IllumiRoom: immersive experiences beyond the TV screen , 2015, Commun. ACM.

[8]  Boris M. Velichkovsky,et al.  The perception of egocentric distances in virtual environments - A review , 2013, ACM Comput. Surv..

[9]  Aljoscha Smolic,et al.  Nonlinear disparity mapping for stereoscopic 3D , 2010, ACM Trans. Graph..

[10]  Greg Welch,et al.  The office of the future: a unified approach to image-based modeling and spatially immersive displays , 1998, SIGGRAPH.

[11]  A. Raftery Bayesian Model Selection in Social Research , 1995 .

[12]  Gerd Bruder,et al.  Illusion of depth in spatial augmented reality , 2016, 2016 IEEE VR 2016 Workshop on Perceptual and Cognitive Issues in AR (PERCAR).

[13]  H. Barlow Vision Science: Photons to Phenomenology by Stephen E. Palmer , 2000, Trends in Cognitive Sciences.

[14]  Gerd Bruder,et al.  Distance estimation in large immersive projection systems, revisited , 2015, 2015 IEEE Virtual Reality (VR).

[15]  Jeffrey N. Rouder,et al.  Bayesian t tests for accepting and rejecting the null hypothesis , 2009, Psychonomic bulletin & review.

[16]  Jeffrey N. Rouder,et al.  Default Bayes factors for ANOVA designs , 2012 .

[17]  James E. Cutting,et al.  Chapter 3 – Perceiving Layout and Knowing Distances: The Integration, Relative Potency, and Contextual Use of Different Information about Depth* , 1995 .

[18]  Hiroshi Ishii,et al.  Emancipated pixels: real-world graphics in the luminous room , 1999, SIGGRAPH.

[19]  Blair MacIntyre,et al.  RoomAlive: magical experiences enabled by scalable, adaptive projector-camera units , 2014, UIST.

[20]  Z. Dienes Bayesian Versus Orthodox Statistics: Which Side Are You On? , 2011, Perspectives on psychological science : a journal of the Association for Psychological Science.

[21]  Greg Welch,et al.  Shader Lamps: Animating Real Objects With Image-Based Illumination , 2001, Rendering Techniques.

[22]  Hrvoje Benko,et al.  Dyadic projected spatial augmented reality , 2014, UIST.

[23]  Timothy R. Fricke,et al.  Stereopsis, stereotests, and their relation to vision screening and clinical practice , 1997 .

[24]  Greg Welch,et al.  Efficient Image Generation for Multiprojector and Multisurface Displays , 1998, Rendering Techniques.

[25]  S. D. Winter,et al.  A Systematic Review of Bayesian Articles in Psychology: The Last 25 Years , 2017, Psychological methods.