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Cross-modality registration between 2D images from cameras and 3D point clouds from LiDARs is a crucial task in computer vision and robotic.
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography
Martin A Fischler and Robert C Bolles · 1981
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Paul J Besl and Neil D McKay · 1992
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Object modelling by registration of multiple range images
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Object recognition from local scale-invariant features
David G Lowe · 1999
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Bundle adjustment—a modern synthesis
Bill Triggs, Philip F McLauchlan, Richard I Hartley, and Andrew W Fitzgibbon · 1999
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Complete solution classification for the perspective-three-point problem
Xiao-Shan Gao, Xiao-Rong Hou, Jianliang Tang, and Hang-Fei Cheng · 2003
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Visualizing data using t-sne
Laurens Van der Maaten and Geoffrey Hinton · 2008
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Epnp: An accurate o (n) solution to the pnp problem
Vincent Lepetit, Francesc Moreno-Noguer, and Pascal Fua · 2009
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Orb: An efficient alternative to sift or surf
Ethan Rublee, Vincent Rabaud, Kurt Konolige, and Gary Bradski · 2011
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Adaptive multiple importance sampling
JEAN-MARIE CORNUET, JEAN-MICHEL MARIN, Antonietta Mira, and Christian P Robert · 2012
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Improving image-based localization by active correspondence search
Torsten Sattler, Bastian Leibe, and Leif Kobbelt · 2012
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Vision meets robotics: The kitti dataset
Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun · 2013
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Orb-slam: a versatile and accurate monocular slam system
Raul Mur-Artal, Jose Maria Martinez Montiel, and Juan D Tardos · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Structure-from-motion revisited
Johannes L Schonberger and Jan-Michael Frahm · 2016
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Lift: Learned invariant feature transform
Kwang Moo Yi, Eduard Trulls, Vincent Lepetit, and Pascal Fua · 2016
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Dsac-differentiable ransac for camera localization
Eric Brachmann, Alexander Krull, Sebastian Nowozin, Jamie Shotton, Frank Michel, Stefan Gumhold, and Carsten Rother · 2017
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Categorical reparametrization with gumble-softmax
Eric Jang, Shixiang Gu, and Ben Poole · 2017
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2017
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PointNet: Deep learning on point sets for 3D classification and segmentation
Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas · 2017
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Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
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3dmatch: Learning local geometric descriptors from rgb-d reconstructions
Andy Zeng, Shuran Song, Matthias Nießner, Matthew Fisher, Jianxiong Xiao, and Thomas Funkhouser · 2017
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Ppfnet: Global context aware local features for robust 3d point matching
Haowen Deng, Tolga Birdal, and Slobodan Ilic · 2018
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Calibnet: Geometrically supervised extrinsic calibration using 3d spatial transformer networks
Ganesh Iyer, R Karnik Ram, J Krishna Murthy, and K Madhava Krishna · 2018
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Lf-net: Learning local features from images
Circle loss: A unified perspective of pair similarity optimization
Yifan Sun, Changmao Cheng, Yuhan Zhang, Chi Zhang, Liang Zheng, Zhongdao Wang, and Yichen Wei · 2020
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Searching efficient 3d architectures with sparse point-voxel convolution
Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, and Song Han · 2020
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Long-term visual localization revisited
Carl Toft, Will Maddern, Akihiko Torii, Lars Hammarstrand, Erik Stenborg, Daniel Safari, Masatoshi Okutomi, Marc Pollefeys, Josef Sivic, Tomas Pajdla, et al · 2020
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Learning feature descriptors using camera pose supervision
Qianqian Wang, Xiaowei Zhou, Bharath Hariharan, and Noah Snavely · 2020
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Deepi2p: Image-to-point cloud registration via deep classification
Jiaxin Li and Gim Hee Lee · 2021
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Lccnet: Lidar and camera self-calibration using cost volume network
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Yuki Ono, Eduard Trulls, Pascal Fua, and Kwang Moo Yi · 2018
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Benchmarking 6dof outdoor visual localization in changing conditions
Torsten Sattler, Will Maddern, Carl Toft, Akihiko Torii, Lars Hammarstrand, Erik Stenborg, Daniel Safari, Masatoshi Okutomi, Marc Pollefeys, Josef Sivic, et al · 2018
Cited alongside, same era.
3dfeat-net: Weakly supervised local 3d features for point cloud registration
Zi Jian Yew and Gim Hee Lee · 2018
Cited alongside, same era.
Voxelnet: End-to-end learning for point cloud based 3d object detection
Yin Zhou and Oncel Tuzel · 2018
Cited alongside, same era.
Cmrnet: Camera to lidar-map registration
Daniele Cattaneo, Matteo Vaghi, Augusto Luis Ballardini, Simone Fontana, Domenico G Sorrenti, and Wolfram Burgard · 2019
Cited alongside, same era.
4d spatio-temporal convnets: Minkowski convolutional neural networks
Christopher Choy, JunYoung Gwak, and Silvio Savarese · 2019
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D2-net: A trainable cnn for joint description and detection of local features
Mihai Dusmanu, Ignacio Rocco, Tomas Pajdla, Marc Pollefeys, Josef Sivic, Akihiko Torii, and Torsten Sattler · 2019
Cited alongside, same era.
Xudong Lv, Boya Wang, Ziwen Dou, Dong Ye, and Shuo Wang · 2021
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Cfnet: Lidar-camera registration using calibration flow network
Xudong Lv, Shuo Wang, and Dong Ye · 2021
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Point transformer
Hengshuang Zhao, Li Jiang, Jiaya Jia, Philip HS Torr, and Vladlen Koltun · 2021
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Epro-pnp: Generalized end-to-end probabilistic perspective-n-points for monocular object pose estimation
Hansheng Chen, Pichao Wang, Fan Wang, Wei Tian, Lu Xiong, and Hao Li · 2022
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Corri2p: Deep image-to-point cloud registration via dense correspondence
Siyu Ren, Yiming Zeng, Junhui Hou, and Xiaodong Chen · 2022
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3D shape reconstruction from 2D images with disentangled attribute flow
Xin Wen, Junsheng Zhou, Yu-Shen Liu, Hua Su, Zhen Dong, and Zhizhong Han · 2022
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Learning consistency-aware unsigned distance functions progressively from raw point clouds
Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Yi Fang, and Zhizhong Han · 2022
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3d-oae: Occlusion auto-encoders for self-supervised learning on point clouds
Junsheng Zhou, Xin Wen, Baorui Ma, Yu-Shen Liu, Yue Gao, Yi Fang, and Zhizhong Han · 2022
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Is geometry enough for matching in visual localization?
Qunjie Zhou, Sergio Agostinho, Aljosa Osep, and Laura Leal-Taixe · 2022
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Multi-grid representation with field regularization for self-supervised surface reconstruction from point clouds
Chuan Jin, Tieru Wu, and Junsheng Zhou · 2023
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NeAF: Learning neural angle fields for point normal estimation
Shujuan Li, Junsheng Zhou, Baorui Ma, Yu-Shen Liu, and Zhizhong Han · 2023
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Towards better gradient consistency for neural signed distance functions via level set alignment
Baorui Ma, Junsheng Zhou, Yu-Shen Liu, and Zhizhong Han · 2023
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Learning a more continuous zero level set in unsigned distance fields through level set projection
Junsheng Zhou, Baorui Ma, Shujuan Li, Yu-Shen Liu, and Zhizhong Han · 2023
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Uni3d: Exploring unified 3d representation at scale
Junsheng Zhou, Jinsheng Wang, Baorui Ma, Yu-Shen Liu, Tiejun Huang, and Xinlong Wang · 2023
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