Fast and accurate computation of surface normals from range images, 2011 IEEE International Conference on Robotics and Automation, 2011. ,
DOI : 10.1109/ICRA.2011.5980275
3D Head tracking using normal flow constraints in a vehicle environment, Biennial on DSP for in-Vehicle and Mobile Systems, 2007. ,
Real-time image-based tracking of planes using efficient second-order minimization, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566), 2004. ,
DOI : 10.1109/IROS.2004.1389474
Object modeling by registration of multiple range images, Proceedings. 1991 IEEE International Conference on Robotics and Automation, 1991. ,
DOI : 10.1109/ROBOT.1991.132043
Pair-wise Registration of 3D/Color Data Sets with ICP, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006. ,
DOI : 10.1109/IROS.2006.282551
URL : https://hal.archives-ouvertes.fr/lirmm-00128688
A Unified Approach Combining Photometric and Geometric Information for Pose Estimation, Procedings of the British Machine Vision Conference 2008, 2008. ,
DOI : 10.5244/C.22.14
Bi-objective optimization for robust RGB-D visual odometry, The 27th Chinese Control and Decision Conference (2015 CCDC), 2015. ,
DOI : 10.1109/CCDC.2015.7162218
A benchmark for RGB-D visual odometry, 3D reconstruction and SLAM, 2014 IEEE International Conference on Robotics and Automation (ICRA), 2014. ,
DOI : 10.1109/ICRA.2014.6907054
The 12th International Symposium on Experimental Robotics, chapter RGB-D Mapping: Using Depth Cameras for Dense 3D Modeling of Indoor Environments, 2014. ,
About Direct Methods, Proceedings of the International Workshop on Vision Algorithms: Theory and Practice, pp.267-277, 1999. ,
DOI : 10.1007/3-540-44480-7_18
Point-to-hyperplane RGB-D pose estimation: Fusing photometric and geometric measurements, IEEE International Conference on Intelligent Robots and Systems, 2016. ,
Registration and integration of textured 3-D data, Proceedings. International Conference on Recent Advances in 3-D Digital Imaging and Modeling (Cat. No.97TB100134), 1997. ,
DOI : 10.1109/IM.1997.603871
Dense visual SLAM for RGB-D cameras, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013. ,
DOI : 10.1109/IROS.2013.6696650
On unifying key-frame and voxelbased dense visual SLAM at large scales, International Conference on Intelligent Robots and Systems, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-01357359
Color point cloud registration with 4D ICP algorithm, 2011 IEEE International Conference on Robotics and Automation, 2011. ,
DOI : 10.1109/ICRA.2011.5980407
Color supported generalized- ICP, International Conference on Computer Vision Theory and Applications, 2014. ,
Stereo tracking using ICP and normal flow constraint, Object recognition supported by user interaction for service robots, 2002. ,
DOI : 10.1109/ICPR.2002.1047472
Generalized-ICP, Robotics: Science and Systems V, 2009. ,
DOI : 10.15607/RSS.2009.V.021
Large-Scale Multi-resolution Surface Reconstruction from RGB-D Sequences, 2013 IEEE International Conference on Computer Vision, 2013. ,
DOI : 10.1109/ICCV.2013.405
A benchmark for the evaluation of RGB-D SLAM systems, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012. ,
DOI : 10.1109/IROS.2012.6385773
Direct Iterative Closest Point for real-time visual odometry, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), 2011. ,
DOI : 10.1109/ICCVW.2011.6130500
Robust real-time visual odometry for dense RGB-D mapping, 2013 IEEE International Conference on Robotics and Automation, 2013. ,
DOI : 10.1109/ICRA.2013.6631400
Real-time large-scale dense RGB-D SLAM with volumetric fusion, The International Journal of Robotics Research, vol.7633, issue.6, pp.4-5598, 2015. ,
DOI : 10.1016/j.jvcir.2013.02.008
ElasticFusion: Dense SLAM Without A Pose Graph, Robotics: Science and Systems XI, 2015. ,
DOI : 10.15607/RSS.2015.XI.001
Experimental evaluation of RGB-D visual odometry methods, International Journal of Advanced Robotic Systems, 2015. ,
Color map optimization for 3D reconstruction with consumer depth cameras, ACM Trans. Graph, 2014. ,