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We present a comprehensive overview of the stereoscopic Intel RealSense RGBD imaging systems.
A stochastic approximation method
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D. Nehab, S. Rusinkiewiez, and J. Davis · 2005
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The Tyzx DeepSea G2 vision system, a taskable, embedded stereo camera
J. I. Woodfill, G. Gordon, D. Jurasek, T. Brown, and R. Buck · 2006
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H. Hirschmuller · 2008
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Evaluation of stereo matching costs on images with radiometric differences
H. Hirschmuller and D. Scharstein · 2009
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Cross-based local stereo matching using orthogonal integral images
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Efficient large-scale stereo matching
A. Geiger, M. Roser, and R. Urtasun · 2010
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Noise-optimal capture for high dynamic range photography
S. W. Hasinoff, F. Durand, and W. T. Freeman · 2010
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Projected texture stereo
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Domain transform for edge-aware image and video processing
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On building an accurate stereo matching system on graphics hardware
X. Mei, X. Sun, M. Zhou, S. Jiao, H. Wang, and X. Zhang · 2011
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Full-image guided filtering for fast stereo matching
Q. Yang, D. Li, L. Wang, and M. Zhang · 2013
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High-resolution stereo datasets with subpixel-accurate ground truth
D. Scharstein, H. Hirschmüller, Y. Kitajima, G. Krathwohl, N. Nešić, X. Wang, and P. Westling · 2014
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Exact bias correction and covariance estimation for stereo vision
C. Freundlich, M. Zavlanos, and P. Mordohai · 2015
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Intel IDF Shenzen 2015 demonstration
Intel · 2015
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librealsense
Intel · 2016
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Intel® RealSense™ Camera R200
Intel Corporation · 2016
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