RGB-D mapping: Using Kinect-style depth cameras for dense 3D modeling of indoor environments
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Dieter Fox | Evan Herbst | Xiaofeng Ren | Michael Krainin | Peter Henry | D. Fox | E. Herbst | Xiaofeng Ren | Peter Henry | Michael Krainin
[1] Robert C. Bolles,et al. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.
[2] Berthold K. P. Horn,et al. Closed-form solution of absolute orientation using unit quaternions , 1987 .
[3] Gérard G. Medioni,et al. Object modeling by registration of multiple range images , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.
[4] Gérard G. Medioni,et al. Object modelling by registration of multiple range images , 1992, Image Vis. Comput..
[5] Paul J. Besl,et al. A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[6] Jitendra Malik,et al. Modeling and Rendering Architecture from Photographs: A hybrid geometry- and image-based approach , 1996, SIGGRAPH.
[7] Evangelos E. Milios,et al. Globally Consistent Range Scan Alignment for Environment Mapping , 1997, Auton. Robots.
[8] Andrew E. Johnson,et al. Registration and integration of textured 3-D data , 1997, Proceedings. International Conference on Recent Advances in 3-D Digital Imaging and Modeling (Cat. No.97TB100134).
[9] Andrew W. Fitzgibbon,et al. Bundle Adjustment - A Modern Synthesis , 1999, Workshop on Vision Algorithms.
[10] Andrew Zisserman,et al. MLESAC: A New Robust Estimator with Application to Estimating Image Geometry , 2000, Comput. Vis. Image Underst..
[11] Matthias Zwicker,et al. Surfels: surface elements as rendering primitives , 2000, SIGGRAPH.
[12] Wolfram Burgard,et al. A real-time algorithm for mobile robot mapping with applications to multi-robot and 3D mapping , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).
[13] Marc Levoy,et al. Efficient variants of the ICP algorithm , 2001, Proceedings Third International Conference on 3-D Digital Imaging and Modeling.
[14] Sang Wook Lee,et al. ICP Registration Using Invariant Features , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[15] Sebastian Thrun,et al. Probabilistic robotics , 2002, CACM.
[16] David Nistér,et al. An efficient solution to the five-point relative pose problem , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] James R. Bergen,et al. Visual odometry , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[18] David G. Lowe,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.
[19] Kurt Konolige,et al. Large-Scale Map-Making , 2004, AAAI.
[20] Wolfram Burgard,et al. Improving Simultaneous Mapping and Localization in 3D Using Global Constraints , 2005, AAAI.
[21] Jan-Michael Frahm,et al. Towards Urban 3D Reconstruction from Video , 2006, Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06).
[22] David Nistér,et al. Scalable Recognition with a Vocabulary Tree , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[23] Steven M. Seitz,et al. Photo tourism: exploring photo collections in 3D , 2006, ACM Trans. Graph..
[24] Tom Drummond,et al. Machine Learning for High-Speed Corner Detection , 2006, ECCV.
[25] Hugh F. Durrant-Whyte,et al. CRF-Matching: Conditional Random Fields for Feature-Based Scan Matching , 2007, Robotics: Science and Systems.
[26] Wolfram Burgard,et al. A Tree Parameterization for Efficiently Computing Maximum Likelihood Maps using Gradient Descent , 2007, Robotics: Science and Systems.
[27] Changchang Wu,et al. SiftGPU : A GPU Implementation of Scale Invariant Feature Transform (SIFT) , 2007 .
[28] Wolfram Burgard,et al. Efficient estimation of accurate maximum likelihood maps in 3D , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[29] Jan-Michael Frahm,et al. Detailed Real-Time Urban 3D Reconstruction from Video , 2007, International Journal of Computer Vision.
[30] Ian D. Reid,et al. Mapping Large Loops with a Single Hand-Held Camera , 2007, Robotics: Science and Systems.
[31] Reinhard Koch,et al. Pose estimation and map building with a Time-Of-Flight-camera for robot navigation , 2008, Int. J. Intell. Syst. Technol. Appl..
[32] Piotr Jasiobedzki,et al. Stereo-Vision Based 3D Modeling and Localization for Unmanned Vehicles , 2008 .
[33] Vincent Lepetit,et al. Keypoint Signatures for Fast Learning and Recognition , 2008, ECCV.
[34] Kurt Konolige,et al. FrameSLAM: From Bundle Adjustment to Real-Time Visual Mapping , 2008, IEEE Transactions on Robotics.
[35] Sven Behnke,et al. Robust Ego-Motion Estimation with ToF Cameras , 2009, ECMR.
[36] P. Newman,et al. Navigating , Recognising and Describing Urban Spaces With Vision and Laser , 2009 .
[37] Manolis I. A. Lourakis,et al. SBA: A software package for generic sparse bundle adjustment , 2009, TOMS.
[38] Young Min Kim,et al. Multi-view image and ToF sensor fusion for dense 3D reconstruction , 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.
[39] Paul Newman,et al. Navigating, Recognizing and Describing Urban Spaces With Vision and Lasers , 2009, Int. J. Robotics Res..
[40] Aleksandr V. Segal,et al. Generalized-ICP , 2009, Robotics: Science and Systems.
[41] Richard Szeliski,et al. Reconstructing building interiors from images , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[42] Darius Burschka,et al. The self-referenced DLR 3D-modeler , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[43] Joachim Hertzberg,et al. Three‐dimensional mapping with time‐of‐flight cameras , 2009, J. Field Robotics.
[44] Jean Ponce,et al. Accurate, Dense, and Robust Multiview Stereopsis , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[45] Kurt Konolige,et al. Sparse Sparse Bundle Adjustment , 2010, BMVC.
[46] Andrew J. Davison,et al. Live dense reconstruction with a single moving camera , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[47] Dieter Fox,et al. RGB-D Mapping: Using Depth Cameras for Dense 3D Modeling of Indoor Environments , 2010, ISER.
[48] Sebastian Thrun,et al. 3D shape scanning with a time-of-flight camera , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[49] Achim J. Lilienthal,et al. 6D scan registration using depth-interpolated local image features , 2010, Robotics Auton. Syst..
[50] Kurt Konolige,et al. Projected texture stereo , 2010, 2010 IEEE International Conference on Robotics and Automation.
[51] Dieter Fox,et al. Interactive 3D modeling of indoor environments with a consumer depth camera , 2011, UbiComp '11.
[52] Andrew W. Fitzgibbon,et al. Real-time human pose recognition in parts from single depth images , 2011, CVPR 2011.
[53] Wolfram Burgard,et al. Highly accurate maximum likelihood laser mapping by jointly optimizing laser points and robot poses , 2011, 2011 IEEE International Conference on Robotics and Automation.
[54] Dieter Fox,et al. Manipulator and object tracking for in-hand 3D object modeling , 2011, Int. J. Robotics Res..