Structure and Motion from Casual Videos

[1]  Jia Deng,et al.  DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras , 2021, NeurIPS.

[2]  W. Freeman,et al.  Consistent depth of moving objects in video , 2021, ACM Transactions on Graphics.

[3]  J. Kopf,et al.  Robust Consistent Video Depth Estimation , 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[4]  Richard Szeliski,et al.  Consistent video depth estimation , 2020, ACM Trans. Graph..

[5]  Jia Deng,et al.  RAFT: Recurrent All-Pairs Field Transforms for Optical Flow , 2020, ECCV.

[6]  Nan Yang,et al.  D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[7]  Cordelia Schmid,et al.  Self-Supervised Learning With Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

[8]  Konrad Schindler,et al.  Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  Yubin Kuang,et al.  Deep Single Image Camera Calibration With Radial Distortion , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[10]  Pedro V. Sander,et al.  Blind Geometric Distortion Correction on Images Through Deep Learning , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[11]  Jean Charles Bazin,et al.  DeepCalib: a deep learning approach for automatic intrinsic calibration of wide field-of-view cameras , 2018, CVMP '18.

[12]  Anelia Angelova,et al.  Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos , 2018, AAAI.

[13]  Javier Civera,et al.  DynaSLAM: Tracking, Mapping, and Inpainting in Dynamic Scenes , 2018, IEEE Robotics and Automation Letters.

[14]  Stefan Leutenegger,et al.  CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[15]  Anelia Angelova,et al.  Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[16]  Noah Snavely,et al.  Unsupervised Learning of Depth and Ego-Motion from Video , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[17]  Alex Kendall,et al.  What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? , 2017, NIPS.

[18]  Juan D. Tardós,et al.  ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras , 2016, IEEE Transactions on Robotics.

[19]  Jan-Michael Frahm,et al.  Pixelwise View Selection for Unstructured Multi-View Stereo , 2016, ECCV.

[20]  Daniel Cremers,et al.  Direct Sparse Odometry , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[21]  Jan-Michael Frahm,et al.  Structure-from-Motion Revisited , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[22]  Luc Van Gool,et al.  A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[23]  Dieter Fox,et al.  DynamicFusion: Reconstruction and tracking of non-rigid scenes in real-time , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[24]  Jimmy Ba,et al.  Adam: A Method for Stochastic Optimization , 2014, ICLR.

[25]  Daniel Cremers,et al.  LSD-SLAM: Large-Scale Direct Monocular SLAM , 2014, ECCV.

[26]  Fisher Yu,et al.  3D Reconstruction from Accidental Motion , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

[27]  Rob Fergus,et al.  Depth Map Prediction from a Single Image using a Multi-Scale Deep Network , 2014, NIPS.

[28]  Daniel Cremers,et al.  Dense visual SLAM for RGB-D cameras , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[29]  Yoshua Bengio,et al.  Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation , 2013, ArXiv.

[30]  Wolfram Burgard,et al.  A benchmark for the evaluation of RGB-D SLAM systems , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[31]  Michael J. Black,et al.  A Naturalistic Open Source Movie for Optical Flow Evaluation , 2012, ECCV.

[32]  Andrew J. Davison,et al.  DTAM: Dense tracking and mapping in real-time , 2011, 2011 International Conference on Computer Vision.

[33]  Andrew W. Fitzgibbon,et al.  KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera , 2011, UIST.

[34]  Richard Szeliski,et al.  Bundle Adjustment in the Large , 2010, ECCV.

[35]  Aaron Hertzmann,et al.  Nonrigid Structure-from-Motion: Estimating Shape and Motion with Hierarchical Priors , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[36]  Olivier Stasse,et al.  MonoSLAM: Real-Time Single Camera SLAM , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[37]  A. Fitzgibbon,et al.  Bundle Adjustment - A Modern Synthesis , 1999, Workshop on Vision Algorithms.

[38]  S. Umeyama,et al.  Least-Squares Estimation of Transformation Parameters Between Two Point Patterns , 1991, IEEE Trans. Pattern Anal. Mach. Intell..