added info about the new dataset files

datasets/README_testdata

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+The test datasets are provided for research purposes only.
+
+Some of the test datasets build upon other publicly available data.
+Make sure to cite the respective original source of the data if you use the 
+provided files for your research.
+
+  * sun3d_test.h5 is based on the SUN3D dataset http://sun3d.cs.princeton.edu/
+
+    J. Xiao, A. Owens, and A. Torralba, “SUN3D: A Database of Big Spaces Reconstructed Using SfM and Object Labels,” in 2013 IEEE International Conference on Computer Vision (ICCV), 2013, pp. 1625–1632.
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+
+
+
+  * rgbd_test.h5 is based on the RGBD SLAM benchmark http://vision.in.tum.de/data/datasets/rgbd-dataset (licensed under CC-BY 3.0)
+
+    J. Sturm, N. Engelhard, F. Endres, W. Burgard, and D. Cremers, “A benchmark for the evaluation of RGB-D SLAM systems,” in 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012, pp. 573–580.
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+
+
+  * scenes11_test.h5 uses objects from shapenet https://www.shapenet.org/
+
+    A. X. Chang et al., “ShapeNet: An Information-Rich 3D Model Repository,” arXiv:1512.03012 [cs], Dec. 2015.
+
+
+
+  * mvs_test.h5 contains scenes from https://colmap.github.io/datasets.html
+
+    J. L. Schönberger and J. M. Frahm, “Structure-from-Motion Revisited,” in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, pp. 4104–4113.
+    J. L. Schönberger, E. Zheng, J.-M. Frahm, and M. Pollefeys, “Pixelwise View Selection for Unstructured Multi-View Stereo,” in Computer Vision – ECCV 2016, 2016, pp. 501–518.
+
+
+
+  * nyu2_test.h5 is based on http://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
+
+    N. Silberman, D. Hoiem, P. Kohli, and R. Fergus, “Indoor Segmentation and Support Inference from RGBD Images,” in Computer Vision – ECCV 2012, 2012, pp. 746–760.
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+