• SegNet

  • Referenced in 27 articles [sw27575]
  • both road scenes and SUN RGB-D indoor scene segmentation tasks. We show that SegNet...
  • ORB-SLAM2

  • Referenced in 13 articles [sw31237]
  • SLAM library for Monocular, Stereo and RGB-D cameras that computes the camera trajectory ... reconstruction (in the stereo and RGB-D case with true scale). It is able ... monocular, in the TUM dataset as RGB-D or monocular, and in the EuRoC dataset ... process live monocular, stereo or RGB-D streams. The library can be compiled without...
  • ScanNet

  • Referenced in 6 articles [sw36659]
  • datasets. Unfortunately, in the context of RGB-D scene understanding, very little data is available ... this issue, we introduce ScanNet, an RGB-D video dataset containing 2.5M views ... easy-to-use and scalable RGB-D capture system that includes automated surface reconstruction...
  • 3DMatch

  • Referenced in 6 articles [sw32561]
  • 3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions. Matching local geometric features on real ... correspondence labels found in existing RGB-D reconstructions. Experiments show that our descriptor...
  • Matterport3D

  • Referenced in 3 articles [sw38209]
  • Matterport3D: Learning from RGB-D Data in Indoor Environments. Access to large, diverse ... RGB-D datasets is critical for training RGB-D scene understanding algorithms. However, existing datasets ... introduce Matterport3D, a large-scale RGB-D dataset containing 10,800 panoramic views from ... RGB-D images of 90 building-scale scenes. Annotations are provided with surface reconstructions, camera...
  • SceneNN

  • Referenced in 3 articles [sw36657]
  • Scene Meshes Dataset with aNNotations. Several RGB-D datasets have been publicized over the past ... fine-grained annotation in these RGB-D datasets has posed challenges to their widespread usage ... this paper, we introduce SceneNN, an RGB-D scene dataset consisting of 100 scenes...
  • Fusion++

  • Referenced in 2 articles [sw32553]
  • arbitrary reconstructed objects. As an RGB-D camera browses a cluttered indoor scene, Mask-RCNN ... approach on a hand-held RGB-D sequence from a cluttered office scene with ... against a baseline approach on the RGB-D SLAM benchmark, and qualitatively compare reconstruction quality...
  • OLT

  • Referenced in 1 article [sw28255]
  • object labeling applied to robotic RGB-D datasets. In this work we present the Object ... management and labeling of sequential RGB-D observations collected by a mobile robot. Such ... equipped with an arbitrary number of RGB-D devices, possibly integrating other sensors (e.g. odometry ... propagated by the toolkit to each RGB-D observation in the collected sequence, providing...
  • DenseFusion

  • Referenced in 1 article [sw32554]
  • performing 6D object pose estimation from RGB-D image is to fully leverage ... Prior works either extract information from the RGB image and depth separately or use costly ... known objects from RGB-D images. DenseFusion is a heterogeneous architecture that processes...
  • OpenPTrack

  • Referenced in 1 article [sw20717]
  • camera calibration and people tracking for RGB-D camera networks. OpenPTrack is an open source...
  • Intrinsic3D

  • Referenced in 1 article [sw30922]
  • high-quality 3D reconstructions from consumer RGB-D sensors. Our core idea is to simultaneously...
  • OpenLORIS

  • Referenced in 1 article [sw37994]
  • vision dataset (”OpenLORIS-Object”) collected via RGB-D cameras. The dataset embeds the challenges faced...
  • ModReg

  • Referenced in 0 articles [sw22759]
  • ModReg: a modular framework for RGB-D image acquisition and 3D object model registration ... RGB-D sensors became a standard in robotic applications requiring object recognition, such as object ... matching of features extracted from RGB-D images retrieved from the robot sensors with ... registration of high-resolution RGB-D images. The objects are placed on a fiducial board...
  • STAR3D

  • Referenced in 0 articles [sw34690]
  • Reconstruction of 3D Objects Using RGB-D Data. We introduce a probabilistic framework for simultaneous ... rigid objects using an RGB-D camera. The tracking problem is handled using...
  • FIVEPOINT

  • Referenced in 20 articles [sw08441]
  • FIVEPOINT: Calibrated Fivepoint Solver. The code implements a...
  • GrabCut

  • Referenced in 115 articles [sw15842]
  • GrabCut: interactive foreground extraction using iterated graph cuts...
  • SIFT

  • Referenced in 631 articles [sw16554]
  • SIFT Keypoint Detector. Distinctive Image Features from Scale...
  • OctoMap

  • Referenced in 5 articles [sw17347]
  • OctoMap: An efficient probabilistic 3D mapping framework based...
  • DeCAF

  • Referenced in 27 articles [sw17856]
  • DeCAF: A Deep Convolutional Activation Feature for Generic...
  • MonoSLAM

  • Referenced in 41 articles [sw18884]
  • MonoSLAM: Real-Time Single Camera SLAM. We present...