A representation of occlusion between real objects and virtual information in Intelligent Room - for AR

Arai, Masahiro; Nakamura, Sousuke; Ono, Hirokazu; Kono, Tomoki; Hashimoto, Hideki

doi:10.1109/iecon.2013.6700437

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Depth Based Methods1

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2015

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“…Behzadan and Kamat's method [19] can handle occlusions in dynamic AR environments in real-time by using depth sensing equipment and be easily integrated into any mobile AR platform. Arai et al [20] employed epipolar geometry to solve occlusion problem in Intelligent Room, but their system required depth sensors measuring 3D information of the room and caused errors around borders of the objects. Dong and Kamat [21] described a robust approach to correctly resolve visual occlusion in outdoor augmented reality by using real time time-of-flight (TOF) camera data and OpenGL frame buffer.…”

Section: Depth Based Methodsmentioning

confidence: 99%