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This manual is intended to provide a detailed description of the DIML/CVL RGB-D dataset.
H. Hirschmuller, “Stereo processing by semiglobal matching and mutual information,” in IEEE Trans. Pattern Anal. Mach. Intell. , vol. 30, no. 2, 2008
2008
Earlier work this paper cites.
A. V. Segal, D. Haehnel, and S. Thrun, “Generalized-icp,” in Robotics: science and systems. , vol. 2, no. 4, 2009
2009
Earlier work this paper cites.
K. Zhang, J. Lu, and G. Lafruit, “Cross-based local stereo matching using orthogonal integral images,” in IEEE Trans. Circuits and Systems for Video Technology. , vol. 19, no. 7, 2009
2009
Earlier work this paper cites.
J. Zbontar and Y. LeCun, “Computing the stereo matching cost with a convolutional neural network,” in Proc. IEEE Conf. Comput. Vision Patt. Recog. , 2015, pp. 1592–1599
2015
Cited alongside, same era.
M. Park and K. Yoon, “Leveraging stereo matching with learning-based confidence measures,” in Proc. IEEE Conf. Comput. Vision Patt. Recog. , 2015
2015
Cited alongside, same era.
Y. Kim, B. Ham, C. Oh, and K. Sohn, “Structure selective depth super-resolution for rgb-d cameras,” in IEEE Trans. Image Process. , vol. 25, no. 11, 2016
2016
Cited alongside, same era.
“https://developer.microsoft.com/en-us/windows/kinect.”
Cited in the paper.
“https://www.stereolabs.com.”
Cited in the paper.
“http://www.vision.caltech.edu/bouguetj/calib _ \_ doc.”
Cited in the paper.
“https://github.com/code-iai/iai _ \_ kinect2.”
Cited in the paper.
“https://cs.nyu.edu/ ∼ \sim silberman/datasets/nyu _ \_ depth _ \_ v2.html.”
Cited in the paper.
“http://www.cvlibs.net/datasets/kitti.”
Cited in the paper.
“https://www.matrix-vision.com/usb3-vision-camera-mvbluefox3.html.”
Cited in the paper.
N. Mayer, E. Ilg, P. Hausser, P. Fischer, D. Cremers, A. Dosovitskiy, and T. Brox, “A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation,” in Proc. IEEE Conf. Comput. Vision Patt. Recog. , 2016, pp. 4040–4048
2016
Later among the works it cites.
S. Kim, D. Min, B. Ham, S. Kim, and K. Sohn, “Deep stereo confidence prediction for depth estimation,” in Proc. IEEE Conf. Image. Process. , 2017
2017
Later among the works it cites.
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