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Simultaneous Localization and Mapping (SLAM) have made the real-time dense reconstruction possible increasing the prospects of navigation, tracking, and augmented reality problems.
D. A. Butler, S. Izadi, O. Hilliges, D. Molyneaux, S. Hodges, and D. Kim, “Shake’n’sense: reducing interference for overlapping structured light depth cameras,” in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems . ACM, 2012, pp. 1933–1936
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B. Curless and M. Levoy, “A volumetric method for building complex models from range images,” in Proceedings of the 23rd annual conference on Computer graphics and interactive techniques . ACM, 1996, pp. 303–312
1996
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S. M. Seitz, B. Curless, J. Diebel, D. Scharstein, and R. Szeliski, “A comparison and evaluation of multi-view stereo reconstruction algorithms,” in Computer vision and pattern recognition, 2006 IEEE Computer Society Conference on , vol. 1. IEEE, 2006, pp. 519–528
2006
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A. J. Davison, I. D. Reid, N. D. Molton, and O. Stasse, “Monoslam: Real-time single camera slam,” IEEE transactions on pattern analysis and machine intelligence , vol. 29, no. 6, pp. 1052–1067, 2007
2007
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G. Klein and D. Murray, “Parallel tracking and mapping for small ar workspaces,” in Mixed and Augmented Reality, 2007. ISMAR 2007. 6th IEEE and ACM International Symposium on . IEEE, 2007, pp. 225–234
2007
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T. Weise, T. Wismer, B. Leibe, and L. Van Gool, “In-hand scanning with online loop closure,” in Computer Vision Workshops (ICCV Workshops), 2009 IEEE 12th International Conference on . IEEE, 2009, pp. 1630–1637
2009
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S. Agarwal, Y. Furukawa, N. Snavely, B. Curless, S. M. Seitz, and R. Szeliski, “Reconstructing rome,” Computer , vol. 43, no. 6, pp. 40–47, 2010
2010
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P. Henry, M. Krainin, E. Herbst, X. Ren, and D. Fox, “Rgb-d mapping: Using depth cameras for dense 3d modeling of indoor environments,” in In the 12th International Symposium on Experimental Robotics (ISER . Citeseer, 2010
2010
Earlier work this paper cites.
R. A. Newcombe, S. Izadi, O. Hilliges, D. Molyneaux, D. Kim, A. J. Davison, P. Kohi, J. Shotton, S. Hodges, and A. Fitzgibbon, “Kinectfusion: Real-time dense surface mapping and tracking,” in Mixed and augmented reality (ISMAR), 2011 10th IEEE international symposium on . IEEE, 2011, pp. 127–136
2011
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R. B. Rusu and S. Cousins, “3d is here: Point cloud library (pcl),” in Robotics and automation (ICRA), 2011 IEEE International Conference on . IEEE, 2011, pp. 1–4
2011
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M. Krainin, P. Henry, X. Ren, and D. Fox, “Manipulator and object tracking for in-hand 3d object modeling,” The International Journal of Robotics Research , vol. 30, no. 11, pp. 1311–1327, 2011
2011
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F. Steinbrücker, J. Sturm, and D. Cremers, “Real-time visual odometry from dense rgb-d images,” in Computer Vision Workshops (ICCV Workshops), 2011 IEEE International Conference on . IEEE, 2011, pp. 719–722
2011
Earlier work this paper cites.
J. Sturm, S. Magnenat, N. Engelhard, F. Pomerleau, F. Colas, D. Cremers, R. Siegwart, and W. Burgard, “Towards a benchmark for rgb-d slam evaluation,” in RGB-D Workshop on Advanced Reasoning with Depth Cameras at Robotics: Science and Systems Conf.(RSS) , 2011
2011
Earlier work this paper cites.
P. Henry, M. Krainin, E. Herbst, X. Ren, and D. Fox, “Rgb-d mapping: Using kinect-style depth cameras for dense 3d modeling of indoor environments,” The International Journal of Robotics Research , vol. 31, no. 5, pp. 647–663, 2012
2012
Earlier work this paper cites.
T. Whelan, H. Johannsson, M. Kaess, J. J. Leonard, and J. McDonald, “Robust tracking for real-time dense rgb-d mapping with kintinuous,” 2012
2012
Earlier work this paper cites.
T. Whelan, M. Kaess, M. Fallon, H. Johannsson, J. Leonard, and J. McDonald, “Kintinuous: Spatially extended kinectfusion,” 2012
2012
Earlier work this paper cites.
H. Roth and M. Vona, “Moving volume kinectfusion.” in BMVC , vol. 20, no. 2, 2012, pp. 1–11
2012
Earlier work this paper cites.
B. Kainz, S. Hauswiesner, G. Reitmayr, M. Steinberger, R. Grasset, L. Gruber, E. Veas, D. Kalkofen, H. Seichter, and D. Schmalstieg, “Omnikinect: real-time dense volumetric data acquisition and applications,” in Proceedings of the 18th ACM symposium on Virtual reality software and technology . ACM, 2012, pp. 25–32
2012
Earlier work this paper cites.
J. Sturm, N. Engelhard, F. Endres, W. Burgard, and D. Cremers, “A benchmark for the evaluation of rgb-d slam systems,” in Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International Conference on . IEEE, 2012, pp. 573–580
2012
Cited alongside, same era.
N. Sünderhauf and P. Protzel, “Towards a robust back-end for pose graph slam,” in Robotics and Automation (ICRA), 2012 IEEE International Conference on . IEEE, 2012, pp. 1254–1261
2012
Cited alongside, same era.
E. Ataer-Cansizoglu, Y. Taguchi, S. Ramalingam, and T. Garaas, “Tracking an rgb-d camera using points and planes,” in Computer Vision Workshops (ICCVW), 2013 IEEE International Conference on . IEEE, 2013, pp. 51–58
2013
Cited alongside, same era.
J. Chen, D. Bautembach, and S. Izadi, “Scalable real-time volumetric surface reconstruction,” ACM Transactions on Graphics (ToG) , vol. 32, no. 4, p. 113, 2013
2013
Cited alongside, same era.
E. Ataer-Cansizoglu and Y. Taguchi, “Object detection and tracking in rgb-d slam via hierarchical feature grouping,” in Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on . IEEE, 2016, pp. 4164–4171
2016
Later among the works it cites.
T. Whelan, R. F. Salas-Moreno, B. Glocker, A. J. Davison, and S. Leutenegger, “Elasticfusion: Real-time dense slam and light source estimation,” The International Journal of Robotics Research , vol. 35, no. 14, pp. 1697–1716, 2016
2016
Later among the works it cites.
C. Cadena, L. Carlone, H. Carrillo, Y. Latif, D. Scaramuzza, J. Neira, I. Reid, and J. J. Leonard, “Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age,” IEEE Transactions on Robotics , vol. 32, no. 6, pp. 1309–1332, 2016
2016
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M. Turan, J. Shabbir, H. Araujo, E. Konukoglu, and M. Sitti, “A deep learning based fusion of rgb camera information and magnetic localization information for endoscopic capsule robots,” International journal of intelligent robotics and applications , vol. 1, no. 4, pp. 442–450, 2017
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M. Nießner, M. Zollhöfer, S. Izadi, and M. Stamminger, “Real-time 3d reconstruction at scale using voxel hashing,” ACM Transactions on Graphics (ToG) , vol. 32, no. 6, p. 169, 2013
2013
Cited alongside, same era.
Q.-Y. Zhou and V. Koltun, “Dense scene reconstruction with points of interest,” ACM Transactions on Graphics (ToG) , vol. 32, no. 4, p. 112, 2013
2013
Cited alongside, same era.
P. Henry, D. Fox, A. Bhowmik, and R. Mongia, “Patch volumes: Segmentation-based consistent mapping with rgb-d cameras,” in 3D Vision-3DV 2013, 2013 International Conference on . IEEE, 2013, pp. 398–405
2013
Cited alongside, same era.
M. Keller, D. Lefloch, M. Lambers, S. Izadi, T. Weyrich, and A. Kolb, “Real-time 3d reconstruction in dynamic scenes using point-based fusion,” in 3D Vision-3DV 2013, 2013 International Conference on . IEEE, 2013, pp. 1–8
2013
Cited alongside, same era.
Y. Latif, C. Cadena, and J. Neira, “Robust loop closing over time for pose graph slam,” The International Journal of Robotics Research , vol. 32, no. 14, pp. 1611–1626, 2013
2013
Cited alongside, same era.
B. M. Silva and L. M. Gonçalves, “Visual odometry and mapping for indoor environments using rgb-d cameras,” in Robotics . Springer, 2014, pp. 16–31
2014
Cited alongside, same era.
A. Handa, T. Whelan, J. McDonald, and A. J. Davison, “A benchmark for rgb-d visual odometry, 3d reconstruction and slam,” in Robotics and automation (ICRA), 2014 IEEE international conference on . IEEE, 2014, pp. 1524–1531
2014
Cited alongside, same era.
B. Karan, “Calibration of kinect-type rgb-d sensors for robotic applications,” FME Transactions , vol. 43, no. 1, pp. 47–54, 2015
2015
Cited alongside, same era.
2017
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2017
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2017
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2017
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2017
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A. S. Huang, A. Bachrach, P. Henry, M. Krainin, D. Maturana, D. Fox, and N. Roy, “Visual odometry and mapping for autonomous flight using an rgb-d camera,” in Robotics Research . Springer, 2017, pp. 235–252
2017
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2017
Later among the works it cites.
M. Turan, Y. Almalioglu, H. Araujo, E. Konukoglu, and M. Sitti, “A non-rigid map fusion-based direct slam method for endoscopic capsule robots,” International journal of intelligent robotics and applications , vol. 1, no. 4, pp. 399–409, 2017
2017
Later among the works it cites.
A. Dai, M. Nießner, M. Zollhöfer, S. Izadi, and C. Theobalt, “Bundlefusion: Real-time globally consistent 3d reconstruction using on-the-fly surface reintegration,” ACM Transactions on Graphics (TOG) , vol. 36, no. 3, p. 24, 2017
2017
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2018
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2018
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2018
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M. Turan, Y. Y. Pilavci, I. Ganiyusufoglu, H. Araujo, E. Konukoglu, and M. Sitti, “Sparse-then-dense alignment-based 3d map reconstruction method for endoscopic capsule robots,” Machine Vision and Applications , vol. 29, no. 2, pp. 345–359, 2018
2018
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J. Shabbir and T. Anwer, “A Survey of Deep Learning Techniques for Mobile Robot Applications,” ArXiv e-prints , Mar. 2018
2018
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M. Turan, Y. Almalioglu, H. Araujo, E. Konukoglu, and M. Sitti, “Deep endovo: A recurrent convolutional neural network (rcnn) based visual odometry approach for endoscopic capsule robots,” Neurocomputing , vol. 275, pp. 1861–1870, 2018
2018
Closest in time.