Exploring RGB-D Cameras for 3D Reconstruction of Cultural Heritage
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[1] Juho Kannala,et al. Joint Depth and Color Camera Calibration with Distortion Correction , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] Gérard G. Medioni,et al. Object modelling by registration of multiple range images , 1992, Image Vis. Comput..
[3] Ozgur Yilmaz,et al. Stereo and kinect fusion for continuous 3D reconstruction and visual odometry , 2013, 2013 International Conference on Electronics, Computer and Computation (ICECCO).
[4] Yutaka Ohtake,et al. A comparison of mesh smoothing methods , 2003 .
[5] TheobaltChristian,et al. Coherent Spatiotemporal Filtering, Upsampling and Rendering of RGBZ Videos , 2012 .
[6] Scott Cohen,et al. Stereo+Kinect for High Resolution Stereo Correspondences , 2013, 2013 International Conference on 3D Vision.
[7] Radu Bogdan Rusu,et al. 3D is here: Point Cloud Library (PCL) , 2011, 2011 IEEE International Conference on Robotics and Automation.
[8] Guido M. Cortelazzo,et al. Handheld scanning with 3D cameras , 2013, 2013 IEEE 15th International Workshop on Multimedia Signal Processing (MMSP).
[9] Vladlen Koltun,et al. Dense scene reconstruction with points of interest , 2013, ACM Trans. Graph..
[10] Yang Bai,et al. A Study in 3D-Reconstruction Using Kinect Sensor , 2012 .
[11] Shahram Izadi,et al. MonoFusion: Real-time 3D reconstruction of small scenes with a single web camera , 2013, 2013 IEEE International Symposium on Mixed and Augmented Reality (ISMAR).
[12] Ian D. Reid,et al. STAR3D: Simultaneous Tracking and Reconstruction of 3D Objects Using RGB-D Data , 2013, 2013 IEEE International Conference on Computer Vision.
[13] Andrew W. Fitzgibbon,et al. Real-time non-rigid reconstruction using an RGB-D camera , 2014, ACM Trans. Graph..
[14] Sander Oude Elberink,et al. Accuracy and Resolution of Kinect Depth Data for Indoor Mapping Applications , 2012, Sensors.
[15] David Fofi,et al. A review of recent range image registration methods with accuracy evaluation , 2007, Image Vis. Comput..
[16] Didier Stricker,et al. Algorithms for 3D Shape Scanning with a Depth Camera , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] Michael M. Kazhdan,et al. Poisson surface reconstruction , 2006, SGP '06.
[18] Minh N. Do,et al. Registration and integration of multiple depth images using signed distance function , 2012, Electronic Imaging.
[19] Derek D. Lichti,et al. Photogrammetric Bundle Adjustment With Self-Calibration of the PrimeSense 3D Camera Technology: Microsoft Kinect , 2013, IEEE Access.
[20] Tomás Pajdla,et al. 3D with Kinect , 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).
[21] Luciano Silva,et al. 3D reconstruction methods for digital preservation of cultural heritage: A survey , 2014, Pattern Recognit. Lett..
[22] Matthias Nießner,et al. Real-time 3D reconstruction at scale using voxel hashing , 2013, ACM Trans. Graph..
[23] Olga R. P. Bellon,et al. Real-time acquisition and super-resolution techniques on 3D reconstruction , 2013, 2013 IEEE International Conference on Image Processing.
[24] Masatoshi Ishikawa,et al. High-resolution surface reconstruction based on multi-level implicit surface from multiple range images , 2013, 2013 IEEE International Conference on Image Processing.
[25] Gary K. L. Tam,et al. Registration of 3D Point Clouds and Meshes: A Survey from Rigid to Nonrigid , 2013, IEEE Transactions on Visualization and Computer Graphics.
[26] Weihai Chen,et al. Fast 3D modeling in complex environments using a single Kinect sensor , 2014 .
[27] Paolo Cignoni,et al. Pushing time-of-flight scanners to the limit , 2009, VAST'09.
[28] Joachim Hertzberg,et al. An Explicit Loop Closing Technique for 6D SLAM , 2009, ECMR.
[29] Guido M. Cortelazzo,et al. 3D scanning of cultural heritage with consumer depth cameras , 2016, Multimedia Tools and Applications.
[30] Marc Levoy,et al. Efficient variants of the ICP algorithm , 2001, Proceedings Third International Conference on 3-D Digital Imaging and Modeling.
[31] Petros Daras,et al. Real-Time, Full 3-D Reconstruction of Moving Foreground Objects From Multiple Consumer Depth Cameras , 2013, IEEE Transactions on Multimedia.
[32] Kari Pulli,et al. Multiview registration for large data sets , 1999, Second International Conference on 3-D Digital Imaging and Modeling (Cat. No.PR00062).
[33] Maurício Pamplona Segundo,et al. Automating 3D reconstruction pipeline by surf-based alignment , 2012, 2012 19th IEEE International Conference on Image Processing.
[34] Hans-Peter Seidel,et al. Coherent Spatiotemporal Filtering, Upsampling and Rendering of RGBZ Videos , 2012, Comput. Graph. Forum.
[35] Xuan Song,et al. When 3D Reconstruction Meets Ubiquitous RGB-D Images , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[36] Luciano Silva,et al. 3D reconstruction of cultural heritages: Challenges and advances on precise mesh integration , 2012, Comput. Vis. Image Underst..
[37] A. N. Rajagopalan,et al. Range map superresolution-inpainting, and reconstruction from sparse data , 2012, Comput. Vis. Image Underst..
[38] Bo Jiang,et al. A divide-and-conquer approach to large scene reconstruction with interactive scene analysis and segmentation , 2013, VRCAI '13.
[39] John J. Leonard,et al. Deformation-based loop closure for large scale dense RGB-D SLAM , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[40] Yutaka Ishibashi,et al. Weighted Joint Bilateral Filter with Slope Depth Compensation Filter for Depth Map Refinement , 2013, VISAPP.
[41] Kai Liu,et al. A Two-Stage Framework for 3D FaceReconstruction from RGBD Images , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[42] John J. Leonard,et al. Kintinuous: Spatially Extended KinectFusion , 2012, AAAI 2012.
[43] Yasushi Makihara,et al. Dynamic scene reconstruction using asynchronous multiple Kinects , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).
[44] Jiawen Chen,et al. Scalable real-time volumetric surface reconstruction , 2013, ACM Trans. Graph..
[45] Ian D. Reid,et al. Dense Reconstruction Using 3D Object Shape Priors , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[47] Christian Siegl,et al. Low-Cost Real-Time 3D Reconstruction of Large-Scale Excavation Sites using an RGB-D Camera , 2014, GCH.
[48] Olaf Kähler,et al. A Framework for the Volumetric Integration of Depth Images , 2014, ArXiv.
[49] Kurt Konolige,et al. Change Their Perception: RGB-D for 3-D Modeling and Recognition , 2013, IEEE Robotics & Automation Magazine.
[50] Venu Madhav Govindu,et al. A pipeline for building 3D models using depth cameras , 2012, ICVGIP '12.
[51] Özgür Yilmaz,et al. Stereo and KinectFusion for continuous 3D reconstruction and visual odometry , 2016 .
[52] Andrew W. Fitzgibbon,et al. KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera , 2011, UIST.
[53] Daniel Cremers,et al. Large-Scale Multi-resolution Surface Reconstruction from RGB-D Sequences , 2013, 2013 IEEE International Conference on Computer Vision.
[54] Luciano Silva,et al. 3D preserving xviii century barroque masterpiece: Challenges and results on the digital preservation of Aleijadinho’s sculpture of the Prophet Joel , 2012 .
[55] Paul Newman,et al. Detecting Loop Closure with Scene Sequences , 2007, International Journal of Computer Vision.
[56] Shahram Izadi,et al. Real-time shading-based refinement for consumer depth cameras , 2014, ACM Trans. Graph..
[57] Kang Chen,et al. Automatic semantic modeling of indoor scenes from low-quality RGB-D data using contextual information , 2014, ACM Trans. Graph..
[58] In-So Kweon,et al. High Quality Shape from a Single RGB-D Image under Uncalibrated Natural Illumination , 2013, 2013 IEEE International Conference on Computer Vision.
[59] Elise Lachat,et al. Assessment and Calibration of a RGB-D Camera (Kinect v2 Sensor) Towards a Potential Use for Close-Range 3D Modeling , 2015, Remote. Sens..