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Learning-based depth estimation has witnessed recent progress in multiple directions; from self-supervision using monocular video to supervised methods offering highest accuracy.
A four-step camera calibration procedure with implicit image correction
J Heikkila and O Silven · 1997
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Micropolarizer array for infrared imaging polarimetry
Gregory P Nordin, Jeffrey T Meier, Panfilo C Deguzman, and Michael W Jones · 1999
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Bundle adjustment—a modern synthesis
B Triggs, P F McLauchlan, R I Hartley, and A W Fitzgibbon · 1999
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Solid-state time-of-flight range camera
R. Lange and P. Seitz · 2001
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Multi-view surface reconstruction using polarization
Gary A Atkinson and Edwin R Hancock · 2005
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Accurate and efficient stereo processing by semi-global matching and mutual information
Heiko Hirschmuller · 2005
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Recovery of surface orientation from diffuse polarization
Gary A Atkinson and Edwin R Hancock · 2006
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Separating true range measurements from multi-path and scattering interference in commercial range cameras
Adrian A Dorrington, John P Godbaz, Michael J Cree, Andrew D Payne, and Lee V Streeter · 2011
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Lock-in time-of-flight (tof) cameras: A survey
Sergi Foix, Guillem Alenya, and Carme Torras · 2011
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G2o: A general framework for graph optimization
R. Kümmerle, G. Grisetti, H. Strasdat, K. Konolige, and W. Burgard · 2011
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Are we ready for autonomous driving? the kitti vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
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Closed-form inverses for the mixed pixel/multipath interference problem in amcw lidar
John P Godbaz, Michael J Cree, and Adrian A Dorrington · 2012
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Time-of-flight cameras: principles, methods and applications
Miles Hansard, Seungkyu Lee, Ouk Choi, and Radu Patrice Horaud · 2012
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A benchmark for the evaluation of rgb-d slam systems
J. Sturm, N. Engelhard, F. Endres, W. Burgard, and D. Cremers · 2012
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Coded time of flight cameras: sparse deconvolution to address multipath interference and recover time profiles
Achuta Kadambi, Refael Whyte, Ayush Bhandari, Lee Streeter, Christopher Barsi, Adrian Dorrington, and Ramesh Raskar · 2013
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Spumic: Simultaneous phase unwrapping and multipath interference cancellation in time-of-flight cameras using spectral methods
Ahmed Kirmani, Arrigo Benedetti, and Philip A Chou · 2013
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Sra: Fast removal of general multipath for tof sensors
Daniel Freedman, Yoni Smolin, Eyal Krupka, Ido Leichter, and Mirko Schmidt · 2014
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Temporal frequency probing for 5d transient analysis of global light transport
Matthew O’Toole, Felix Heide, Lei Xiao, Matthias B Hullin, Wolfgang Heidrich, and Kiriakos N Kutulakos · 2014
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Review of methods for resolving multi-path interference in time-of-flight range cameras
Refael Whyte, Lee Streeter, Michael J Cree, and Adrian A Dorrington · 2014
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Surface normal reconstruction using circularly polarized light
N Missael Garcia, Ignacio De Erausquin, Christopher Edmiston, and Viktor Gruev · 2015
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Phasor imaging: A generalization of correlation-based time-of-flight imaging
Mohit Gupta, Shree K Nayar, Matthias B Hullin, and Jaime Martin · 2015
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Spatial transformer networks
Max Jaderberg, Karen Simonyan, Andrew Zisserman, and koray kavukcuoglu · 2015
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A light transport model for mitigating multipath interference in time-of-flight sensors
Nikhil Naik, Achuta Kadambi, Christoph Rhemann, Shahram Izadi, Ramesh Raskar, and Sing Bing Kang · 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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Unsupervised cnn for single view depth estimation: Geometry to the rescue, 2016
Ravi Garg, Vijay Kumar BG, Gustavo Carneiro, and Ian Reid · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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An overview of depth cameras and range scanners based on time-of-flight technologies
Radu Horaud, Miles Hansard, Georgios Evangelidis, and Clément Ménier · 2016
Cited alongside, same era.
Surface normal estimation of black specular objects from multiview polarization images
Daisuke Miyazaki, Takuya Shigetomi, Masashi Baba, Ryo Furukawa, Shinsaku Hiura, and Naoki Asada · 2016
Cited alongside, same era.
Pixelwise view selection for unstructured multi-view stereo
Johannes Lutz Schönberger, Enliang Zheng, Marc Pollefeys, and Jan-Michael Frahm · 2016
Cited alongside, same era.
Learning to remove multipath distortions in time-of-flight range images for a robotic arm setup
Deep end-to-end time-of-flight imaging
Shuochen Su, Felix Heide, Gordon Wetzstein, and Wolfgang Heidrich · 2018
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Improving time-of-flight sensor for specular surfaces with shape from polarization
Tomonari Yoshida, Vladislav Golyanik, Oliver Wasenmüller, and Didier Stricker · 2018
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Unsupervised learning of geometry from videos with edge-aware depth-normal consistency
Zhenheng Yang, Peng Wang, Wei Xu, Liang Zhao, and Ramakant Nevatia · 2018
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Unsupervised domain adaptation for tof data denoising with adversarial learning
Gianluca Agresti, Henrik Schaefer, Piergiorgio Sartor, and Pietro Zanuttigh · 2019
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Physics-based neural networks for shape from polarization
Yunhao Ba, Rui Chen, Yiqin Wang, Lei Yan, Boxin Shi, and Achuta Kadambi · 2019
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Kilho Son, Ming-Yu Liu, and Yuichi Taguchi · 2016
Cited alongside, same era.
Deep3d: Fully automatic 2d-to-3d video conversion with deep convolutional neural networks, 2016
Junyuan Xie, Ross Girshick, and Ali Farhadi · 2016
Cited alongside, same era.
Time-of-flight and structured light depth cameras
Pietro Zanuttigh, Giulio Marin, Carlo Dal Mutto, Fabio Dominio, Ludovico Minto, and Guido Maria Cortelazzo · 2016
Cited alongside, same era.
Epipolar time-of-flight imaging
Supreeth Achar, Joseph R Bartels, William L’Red’ Whittaker, Kiriakos N Kutulakos, and Srinivasa G Narasimhan · 2017
Cited alongside, same era.
Deep learning for confidence information in stereo and tof data fusion
Gianluca Agresti, Ludovico Minto, Giulio Marin, and Pietro Zanuttigh · 2017
Cited alongside, same era.
Polarisation photometric stereo
Gary A Atkinson · 2017
Cited alongside, same era.
Polarimetric multi-view stereo
Zhaopeng Cui, Jinwei Gu, Boxin Shi, Ping Tan, and Jan Kautz · 2017
Cited alongside, same era.
Digging into self-supervised monocular depth estimation
Clément Godard, Oisin Mac Aodha, Michael Firman, and Gabriel J Brostow · 2019
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A differential approach to shape from polarisation: A level-set characterisation
Fotios Logothetis, Roberto Mecca, Fiorella Sgallari, and Roberto Cipolla · 2019
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Self-supervised sparse-to-dense: Self-supervised depth completion from lidar and monocular camera
Fangchang Ma, Guilherme Venturelli Cavalheiro, and Sertac Karaman · 2019
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Polarization demosaicking for monochrome and color polarization focal plane arrays
Simeng Qiu, Qiang Fu, Congli Wang, and Wolfgang Heidrich · 2019
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Self-supervised monocular depth hints
Jamie Watson, Michael Firman, Gabriel J. Brostow, and Daniyar Turmukhambetov · 2019
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Free-form image inpainting with gated convolution, 2019
Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, and Thomas Huang · 2019
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Depth from a polarisation+ rgb stereo pair
Dizhong Zhu and William AP Smith · 2019
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Deep shape from polarization
Yunhao Ba, Alex Gilbert, Franklin Wang, Jinfa Yang, Rui Chen, Yiqin Wang, Lei Yan, Boxin Shi, and Achuta Kadambi · 2020
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P2d: a self-supervised method for depth estimation from polarimetry
Marc Blanchon, Désiré Sidibé, Olivier Morel, Ralph Seulin, Daniel Braun, and Fabrice Meriaudeau · 2020
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Deep polarization cues for transparent object segmentation
Agastya Kalra, Vage Taamazyan, Supreeth Krishna Rao, Kartik Venkataraman, Ramesh Raskar, and Achuta Kadambi · 2020
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Polarized reflection removal with perfect alignment in the wild
Chenyang Lei, Xuhua Huang, Mengdi Zhang, Qiong Yan, Wenxiu Sun, and Qifeng Chen · 2020
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Project to adapt: Domain adaptation for depth completion from noisy and sparse sensor data
Adrian Lopez-Rodriguez, Benjamin Busam, and Krystian Mikolajczyk · 2020
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Predicting sharp and accurate occlusion boundaries in monocular depth estimation using displacement fields
M. Ramamonjisoa, Y. Du, and V. Lepetit · 2020
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Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer
René Ranftl, Katrin Lasinger, David Hafner, Konrad Schindler, and Vladlen Koltun · 2020
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Defeat-net: General monocular depth via simultaneous unsupervised representation learning
Jaime Spencer, Richard Bowden, and Simon Hadfield · 2020
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Gradient centralization: A new optimization technique for deep neural networks
Hongwei Yong, Jianqiang Huang, Xiansheng Hua, and Lei Zhang · 2020
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https://www.intelrealsense.com/depth-camera-d435i/
Intel realsense depth camera d435i · 2021
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Learning an augmented rgb representation with cross-modal knowledge distillation for action detection
Rui Dai, Srijan Das, and François Bremond · 2021
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