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Matching local geometric features on real-world depth images is a challenging task due to the noisy, low-resolution, and incomplete nature of 3D scan data.
A volumetric method for building complex models from range images
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Real-time 3d reconstruction at scale using voxel hashing
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Scene coordinate regression forests for camera relocalization in rgb-d images
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SUN3D: A database of big spaces reconstructed using SfM and object labels
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A benchmark for RGB-D visual odometry, 3D reconstruction and SLAM
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3d mesh labeling via deep convolutional neural networks
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Matchnet: Unifying feature and metric learning for patch-based matching
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3D Convolutional Neural Networks for Landing Zone Detection from LiDAR
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Learning temporal embeddings for complex video analysis
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Discriminative learning of deep convolutional feature point descriptors
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Deep sliding shapes for amodal 3d object detection in rgb-d images
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Shape2pose: human-centric shape analysis
V. G. Kim, S. Chaudhuri, L. Guibas, and T. Funkhouser · 2014
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Unsupervised feature learning for 3d scene labeling
K. Lai, L. Bo, and D. Fox · 2014
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Super 4pcs fast global pointcloud registration via smart indexing
N. Mellado, D. Aiger, and N. J. Mitra · 2014
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Learning local feature descriptors using convex optimisation
K. Simonyan, A. Vedaldi, and A. Zisserman · 2014
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Computing the stereo matching cost with a convolutional neural network
J. Žbontar and Y. LeCun · 2014
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Learning to see by moving
P. Agrawal, J. Carreira, and J. Malik · 2015
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S. Song and J. Xiao · 2015
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3D ShapeNets: A deep representation for volumetric shapes
Z. Wu, S. Song, A. Khosla, F. Yu, L. Zhang, X. Tang, and J. Xiao · 2015
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Marvin: A minimalist GPU-only N-dimensional ConvNet framework
J. Xiao, S. Song, D. Suo, and F. Yu · 2015
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Bundlefusion: Real-time globally consistent 3d reconstruction using on-the-fly surface re-integratio, 2016
A. Dai, M. Nießner, M. Zollhöfer, S. Izadi, and C. Theobalt · 2016
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Structured global registration of rgb-d scans in indoor environments
M. Halber and T. Funkhouser · 2016
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Learning to navigate the energy landscape, 2016
J. Valentin, A. Dai, M. Nießner, P. Kohli, P. Torr, S. Izadi, and C. Keskin · 2016
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Lift: Learned invariant feature transform
K. M. Yi, E. Trulls, V. Lepetit, and P. Fua · 2016
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Multi-view self-supervised deep learning for 6d pose estimation in the amazon picking challenge
A. Zeng, K.-T. Yu, S. Song, D. Suo, E. Walker Jr, A. Rodriguez, and J. Xiao · 2016
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Fast global registration
Q.-Y. Zhou, J. Park, and V. Koltun · 2016
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Self-supervised visual descriptor learning for dense correspondence
T. Schmidt, R. Newcombe, and D. Fox · 2017
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