NYU Depth V2 « Nathan Silberman
If you use the dataset, please cite the following work: Indoor Segmentation and Support Inference from RGBD Images ECCV 2012 [PDF][Bib] Samples of the RGB image, the raw depth image, and the class labels from the dataset. Overview The NYU-Depth V2 data set is comprised of video sequences from a variety of indoor scenes as recorded by both the RGB and Depth cameras from the Microsoft Kinect. It fea
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What is PCL? The Point Cloud Library (or PCL) is a large scale, open project [1] for 2D/3D image and point cloud processing. The PCL framework contains numerous state-of-the art algorithms including filtering, feature estimation, surface reconstruction, registration, model fitting and segmentation. These algorithms can be used, for example, to filter outliers from noisy data, stitch 3D point cloud
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