% generated by bibtexbrowser % % Encoding: UTF-8 @article{Cremers-Kolev-pami11, author = {D. Cremers and K. Kolev}, title = {Multiview Stereo and Silhouette Consistency via Convex Functionals over Convex Domains}, journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence}, year = {2011}, volume = {33}, number = {6}, pages = {1161--1174}, titleurl = {cremers_kolev_pami11.pdf}, topic = {3D Reconstruction}, keywords = {3d-reconstruction, convex-relaxation, 3drec}, } @inproceedings{KPC-10, author = {K. Kolev and T. Pock and D. Cremers}, title = {Anisotropic Minimal Surfaces Integrating Photoconsistency and Normal Information for Multiview Stereo}, optcrossref = {}, optkey = {}, booktitle = {European Conference on Computer Vision (ECCV)}, optpages = {}, year = {2010}, opteditor = {}, optvolume = {}, optnumber = {}, optseries = {}, address = {Heraklion, Greece}, month = {September}, optorganization = {}, optpublisher = {}, optannote = {}, titleurl = {KPC-10.pdf}, topic = {3D Reconstruction, Convex Relaxation Methods}, keywords = {3d-reconstruction,3drec, convex-relaxation}, } @inproceedings{Stuehmer-et-al-dagm10, author = {J. Stühmer and S. Gumhold and D. Cremers}, title = {Real-Time Dense Geometry from a Handheld Camera}, booktitle = {Pattern Recognition (Proc. DAGM)}, pages = {11-20}, year = {2010}, address = {Darmstadt, Germany}, month = {September}, titleurl = {stuehmer_et_al_dagm10.pdf}, keywords = {3d-reconstruction, rgb-d, dense, monocular, slam, vslam}, topic = {3D Reconstruction}, } @inproceedings{Stuehmer-et-al-cvgpu10, author = {J. Stühmer and S. Gumhold and D. Cremers}, title = {Parallel Generalized Thresholding Scheme for Live Dense Geometry from a Handheld Camera}, booktitle = {ECCV Workshop on Computer Vision on GPUs (CVGPU)}, year = {2010}, address = {Heraklion, Greece}, month = {September}, keywords = {3d-reconstruction, rgb-d, dense, monocular, slam, vslam}, topic = {3D Reconstruction}, } @inproceedings{Kolev-Cremers-09, author = {K. Kolev and D. Cremers}, title = {Continuous Ratio Optimization via Convex Relaxation with Applications to Multiview 3D Reconstruction}, optcrossref = {}, optkey = {}, booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, optpages = {}, year = {2009}, opteditor = {}, optvolume = {}, optnumber = {}, optseries = {}, address = {Miami, Florida}, titleurl = {Kolev-Cremers-09.pdf}, topic = {3D Reconstruction}, keywords = {3d-reconstruction, convex-relaxation}, } @inproceedings{KC-08, author = {K. Kolev and D. Cremers}, title = {Integration of Multiview Stereo and Silhouettes via Convex Functionals on Convex Domains}, optcrossref = {}, optkey = {}, booktitle = {European Conference on Computer Vision (ECCV)}, optpages = {}, year = {2008}, opteditor = {}, optvolume = {}, optnumber = {}, optseries = {}, address = {Marseille, France}, month = {October}, optorganization = {}, optpublisher = {}, optannote = {}, titleurl = {KC-08.pdf}, topic = {3D Reconstruction}, keywords = {3d-reconstruction, convex-relaxation}, } @inproceedings{KSKSC-08, author = {M. Klodt and T. Schoenemann and K. Kolev and M. Schikora and D. Cremers}, title = {An Experimental Comparison of Discrete and Continuous Shape Optimization Methods}, year = {2008}, address = {Marseille, France}, month = {October}, booktitle = {European Conference on Computer Vision (ECCV)}, titleurl = {KSKSC-08.pdf}, topic = {3D Reconstruction, Convex Relaxation Methods}, keywords = {3d-reconstruction, convex-relaxation}, } @inproceedings{KKBC-07, author = {K. Kolev and M. Klodt and T. Brox and D. Cremers}, title = {Propagated Photoconsistency and Convexity in Variational Multiview 3D Reconstruction}, booktitle = {Workshop on Photometric Analysis for Computer Vision}, year = {2007}, address = {Rio de Janeiro, Brazil}, month = {oct}, titleurl = {KKBC-07.pdf}, topic = {3D Reconstruction}, keywords = {3d-reconstruction, convex-relaxation}, } @inproceedings{KKBEC-07, author = {K. Kolev and M. Klodt and T. Brox and S. Esedoglu and D. Cremers}, title = {Continuous Global Optimization in Multiview 3D Reconstruction}, booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR)}, year = {2007}, series = {LNCS}, volume = {4679}, pages = {441--452}, address = {Ezhou, China}, month = {aug}, publisher = {Springer}, titleurl = {KKBEC-07.pdf}, topic = {3D Reconstruction}, copyright = {{Springer-Verlag Berlin Heidelberg 2007}}, keywords = {3d-reconstruction, convex-relaxation}, } @incollection{Cremers-et-al-11, author = {D. Cremers and T. Pock and K. Kolev and A. Chambolle}, title = {Convex Relaxation Techniques for Segmentation, Stereo and Multiview Reconstruction}, booktitle = {Markov Random Fields for Vision and Image Processing}, publisher = {MIT Press}, year = {2011}, titleurl = {cremers_et_al_mrf2011.pdf}, keywords = {3d-reconstruction, convex-relaxation}, topic = {Convex Relaxation Methods}, } @inproceedings{KBC06, author = {K. Kolev and T. Brox and D. Cremers}, title = {Robust variational segmentation of {3D} objects from multiple views}, booktitle = {Pattern Recognition (Proc. DAGM)}, editor = {K. Franke et al.}, year = {2006}, series = {LNCS}, volume = {4174}, pages = {688--697}, address = {Berlin, Germany}, month = {sep}, publisher = {Springer}, titleurl = {kolev_dagm06.pdf}, topic = {3D Reconstruction}, copyright = {{Springer-Verlag Berlin Heidelberg 2006}}, keywords = {3d-reconstruction}, } @article{Kolev-et-al-ijcv09, author = {K. Kolev and M. Klodt and T. Brox and D. Cremers}, title = {Continuous Global Optimization in Multiview 3D Reconstruction}, journal = {International Journal of Computer Vision}, year = {2009}, month = {August}, volume = {84}, number = {1}, pages = {80--96}, titleurl = {Kolev-et-al-ijcv09.pdf}, topic = {3D Reconstruction, Convex Relaxation Methods}, keywords = {3d-reconstruction,3drec,convex-relaxation}, } @inproceedings{MG04:SGR, author = {M. Magnor and B. Goldluecke}, editor = {Aloimonos, Y.}, title = {Spacetime-coherent Geometry Reconstruction from Multiple Video Streams}, booktitle = {2nd International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT)}, publisher = {IEEE}, year = {2004}, organization = {IEEE Computer Society}, pages = {365--372}, address = {Thessaloniki, Greece}, month = {September}, isbn = {0-7695-2223-8}, titleurl = {mg04_sgr.pdf}, keywords = {3d-reconstruction}, } @inproceedings{GM05:STC, author = {B. Goldluecke and M. Magnor}, title = {Spacetime-Continous Geometry Meshes from Multi-View Video Sequences}, booktitle = {Proceedings of the IEEE International Conference on Image Processing}, publisher = {IEEE Computer Society}, year = {2005}, pages = {516--522}, address = {Genoa, Italy}, month = {September}, titleurl = {gm05_stc.pdf}, keywords = {3d-reconstruction}, } @inproceedings{GM04:WMH, author = {B. Goldluecke and M. Magnor}, title = {Weighted Minimal Hypersurfaces and Their Applications in Computer Vision}, booktitle = {European Conference on Computer Vision (ECCV)}, publisher = {Springer}, year = {2004}, volume = {3022}, pages = {366--378}, series = {Lecture Notes in Computer Science}, address = {Prague, Czech Republic}, month = {May}, isbn = {3-540-21983-8}, titleurl = {gm04_wmh.pdf}, keywords = {3d-reconstruction}, } @inproceedings{GM04:STI, author = {B. Goldluecke and M. Magnor}, title = {Space-Time Isosurface Evolution for Temporally Coherent {3D} Reconstruction}, booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, publisher = {IEEE Computer Society}, year = {2004}, volume = {I}, pages = {350--355}, address = {Washington, D.C., USA}, month = {July}, isbn = {0-7695-2158-4}, titleurl = {gm04_sti.pdf}, keywords = {3d-reconstruction}, } @inproceedings{GM03:JRS, author = {B. Goldluecke and M. Magnor}, title = {Joint {3D} Reconstruction and Background Separation in Multiple Views using Graph Cuts}, booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, publisher = {IEEE Computer Society}, year = {2003}, volume = {I}, pages = {683--694}, address = {Madison, Wisconsin, USA}, month = {June}, isbn = {0-7695-1900-8}, titleurl = {gm03_jrs.pdf}, keywords = {3d-reconstruction}, } @article{GILM07:WMHR, author = {B. Goldluecke and I. Ihrke and C. Linz and M. Magnor}, title = {Weighted Minimal Hypersurface Reconstruction}, journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence}, volume = {29}, number = {7}, month = {July}, year = {2007}, pages = {1194--1208}, titleurl = {GILM07_WMHR.pdf}, keywords = {3d-reconstruction}, } @inproceedings{IGM05:RGFW, author = {I. Ihrke and B. Goldluecke and M. Magnor}, title = {Reconstructing the Geometry of Flowing Water}, booktitle = {IEEE International Conference on Computer Vision (ICCV)}, publisher = {IEEE}, year = {2005}, pages = {1055--1060}, address = {Beijing, PRC}, titleurl = {IGM05_RGFW.pdf}, keywords = {3d-reconstruction}, } @inproceedings{GC09:SRF, author = {B. Goldluecke and D. Cremers}, title = {A Superresolution Framework for High-Accuracy Multiview Reconstruction}, booktitle = {Pattern Recognition (Proc. DAGM)}, year = {2009}, address = {Jena, Germany}, topic = {3D Reconstruction}, award = {Received DAGM Best Paper Award}, titleurl = {GC09_STD.pdf}, keywords = {3d-reconstruction}, } @inproceedings{AKGC11:iccv, author = {M. Aubry and K. Kolev and B. Goldluecke and D. Cremers}, title = {Decoupling Photometry and Geometry in Dense Variational Camera Calibration}, booktitle = {IEEE International Conference on Computer Vision (ICCV)}, year = {2011}, titleurl = {AKGC11_iccv.pdf}, keywords = {3d-reconstruction}, } @article{Kolev-et-al-PR11, author = {K. Kolev and N. Kirchgessner and S. Houben and A. Csiszar and W. Rubner and C. Palm and B. Eiben and R. Merkel and D. Cremers}, title = {A Variational Approach to Vesicle Membrane Reconstruction from Fluorescence Imaging}, journal = {Pattern Recognition}, volume = {44}, pages = {2944--2958}, year = {2011}, titleurl = {kolev_pr11.pdf}, keywords = {3d-reconstruction, medical imaging, biology}, } @article{Kolev_et_al_pami12, author = {K. Kolev and T. Brox and D. Cremers}, title = {Fast Joint Estimation of Silhouettes and Dense {3D} Geometry from Multiple Images}, journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence}, year = {2012}, volume = {34}, number = {3}, pages = {493--505}, titleurl = {Kolev_et_al_pami12.pdf}, topic = {3D Reconstruction}, keywords = {convex-relaxation, 3d-reconstruction}, } @inproceedings{kuschk-et-al-iccv2013, author = {G. Kuschk and D. Cremers}, title = {Fast and Accurate Large-scale Stereo Reconstruction using Variational Methods}, year = {2013}, address = {Sydney, Australia}, month = {December}, titleurl = {kuschk-et-al-iccv2013.pdf}, booktitle = {ICCV Workshop on Big Data in 3D Computer Vision}, keywords = {large scale, 3d-reconstruction, total variation}, } @inproceedings{Oswald-Cremers-ICCV-4DMOD-2013, author = {M. R. Oswald and D. Cremers}, title = {A Convex Relaxation Approach to Space Time Multi-view 3D Reconstruction}, booktitle = {{ICCV} {W}orkshop on {D}ynamic {S}hape {C}apture and {A}nalysis ({4DMOD})}, year = {2013}, numpages = {8}, titleurl = {oswald-cremers-ICCV-4DMOD2013.pdf}, topic = {3D Reconstruction}, keywords = {space-time, 3d-reconstruction, convex-relaxation}, } @inproceedings{Steinbruecker-etal-iccv13, author = {F. Steinbruecker and C. Kerl and J. Sturm and D. Cremers}, title = {Large-Scale Multi-Resolution Surface Reconstruction from RGB-D Sequences}, booktitle = {IEEE International Conference on Computer Vision (ICCV)}, year = {2013}, address = {Sydney, Australia}, titleurl = {steinbruecker_etal_iccv2013.pdf}, topic = {3D Reconstruction}, keywords = {RGB-D,Fusion,3d-reconstruction,vslam}, } @inproceedings{Steinbruecker-etal-icra14, author = {F. Steinbruecker and J. Sturm and D. Cremers}, title = {Volumetric 3D Mapping in Real-Time on a CPU}, booktitle = {International Conference on Robotics and Automation (ICRA)}, year = {2014}, address = {Hongkong, China}, titleurl = {steinbruecker_etal_icra2014.pdf}, topic = {3D Reconstruction}, keywords = {RGB-D,Fusion,3d-reconstruction,vslam}, } @inproceedings{Gurdan-et-al-GCPR-2014, author = {T. Gurdan and M. R. Oswald and D. Gurdan and D. Cremers}, title = {Spatial and Temporal Interpolation of Multi-View Image Sequences}, month = {sep}, year = {2014}, numpages = {12}, booktitle = {German Conference on Pattern Recognition (GCPR)}, volume = {36}, address = {Münster, Germany}, keywords = {space-time, 3d-reconstruction}, } @inproceedings{Oswald-Cremers-BMVC-2014, author = {M. R. Oswald and D. Cremers}, title = {Surface Normal Integration for Convex Space-time Multi-view Reconstruction}, booktitle = {British Machine Vision Conference (BMVC)}, year = {2014}, numpages = {11}, keywords = {space-time, 3d-reconstruction, surface normals, convex-relaxation}, } @inproceedings{Oswald-et-al-ECCV-2014, author = {M. R. Oswald and J. Stühmer and D. Cremers}, title = {Generalized Connectivity Constraints for Spatio-temporal 3D Reconstruction}, booktitle = {European Conference on Computer Vision (ECCV)}, year = {2014}, pages = {32-46}, numpages = {14}, keywords = {connectivity constraints, space-time, 3d-reconstruction, convex-relaxation}, topic = {3D Reconstruction, Shape Priors}, } @inproceedings{dzitsiuk2017icra, title = {De-noising, Stabilizing and Completing {3D} Reconstructions On-the-go using Plane Priors}, author = {M. Dzitsiuk and J. Sturm and R. Maier and L. Ma and D. Cremers}, booktitle = {International Conference on Robotics and Automation (ICRA)}, year = {2017}, month = {May}, keywords = {rgb-d,slam,rgbdslam,reconstruction,3d-reconstruction,fusion}, } @inproceedings{maier2017efficient, title = {Efficient Online Surface Correction for Real-time Large-Scale {3D} Reconstruction}, author = {R. Maier and R. Schaller and D. Cremers}, booktitle = {British Machine Vision Conference (BMVC)}, year = {2017}, month = {September}, address = {London, United Kingdom}, keywords = {rgb-d,slam,rgbdslam,rgb-d benchmark,reconstruction,3d-reconstruction,fusion,vslam}, } @inproceedings{maier2017intrinsic3d, title = {Intrinsic3D: High-Quality {3D} Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting}, author = {R. Maier and K. Kim and D. Cremers and J. Kautz and M. Niessner}, booktitle = {International Conference on Computer Vision (ICCV)}, year = {2017}, month = {October}, address = {Venice, Italy}, keywords = {rgb-d,reconstruction,3d-reconstruction,fusion,intrinsic3d}, } @inproceedings{sang2020wacv, title = {Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach}, author = {L. Sang and B. Haefner and D. Cremers}, booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)}, month = {March}, address = {Colorado, USA}, year = {2020}, doi = {10.1109/WACV45572.2020.9093491}, eprint = {1912.06501}, eprinttype = {arXiv}, eprintclass = {cs.CV}, award = {Spotlight Presentation}, titleurl = {sang2020wacv.pdf}, keywords = {3d-reconstruction,rgb-d,photometry}, } @article{haefner2020tpami, title = {Photometric Depth Super-Resolution}, author = {B. Haefner and S. Peng and A. Verma and Y. Quéau and D. Cremers}, journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)}, year = {2020}, volume = {42}, number = {10}, pages = {2453-2464}, doi = {10.1109/TPAMI.2019.2923621}, eprint = {1809.10097}, eprinttype = {arXiv}, eprintclass = {cs.CV}, titleurl = {haefner2020tpami.pdf}, keywords = {rgb-d,reconstruction,3d-reconstruction,photometry,variational,super-resolution,photometricdepthsr}, } @inproceedings{haefner2018cvpr, title = {Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading}, author = {B. Haefner and Y. Quéau and T. Möllenhoff and D. Cremers}, booktitle = {I{EEE}/{CVF} {C}onference on {C}omputer {V}ision and {P}attern {R}ecognition (CVPR)}, year = {2018}, doi = {10.1109/CVPR.2018.00025}, titleurl = {haefner2018cvpr.pdf}, award = {Spotlight Presentation}, keywords = {rgb-d,reconstruction,3d-reconstruction,photometry,variational,super-resolution,photometricdepthsr}, } @inproceedings{peng2017, title = {Depth Super-Resolution Meets Uncalibrated Photometric Stereo}, author = {S. Peng and B. Haefner and Y. Quéau and D. Cremers}, booktitle = {{IEEE International Conference on Computer Vision Workshops (ICCVW)}}, year = {2017}, doi = {10.1109/ICCVW.2017.349}, eprint = {1708.00411}, eprinttype = {arXiv}, eprintclass = {cs.CV}, award = {Oral Presentation at ICCV Workshop on Color and Photometry in Computer Vision}, titleurl = {peng2017iccvw.pdf}, keywords = {rgb-d,reconstruction,3d-reconstruction,photometry,variational,super-resolution,photometricdepthsr}, } @article{roy2019noninvasive, title = {A Non-invasive {3D} Body Scanner and Software Tool towards Analysis of Scoliosis}, author = {S. Roy and A.T.D. Gruenwald and A. Alves-Pinto and R. Maier and D. Cremers and D. Pfeiffer and R. Lampe}, journal = {BioMed Research International (BMRI)}, year = {2019}, month = {May}, keywords = {rgb-d,reconstruction,3d-reconstruction,3d-scanning,medical,medical imaging}, } @inproceedings{bylow2019combining, title = {Combining Depth Fusion and Photometric Stereo for Fine-Detailed {3D} Models}, author = {E. Bylow and R. Maier and F. Kahl and C. Olsson}, booktitle = {Scandinavian Conference on Image Analysis (SCIA)}, year = {2019}, month = {June}, address = {Norrk{\"o}ping, Sweden}, keywords = {rgb-d,reconstruction,3d-reconstruction,photometric-stereo}, award = {Oral Presentation, received the SCIA 2019 Honourable Mention award}, } @inproceedings{sang2023high, author = {L Sang and B Haefner and X Zuo and D Cremers}, title = {High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF}, booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)}, month = {January}, address = {Hawaii, USA}, year = {2023}, eprint = {2210.12202}, eprinttype = {arXiv}, eprintclass = {cs.CV}, copyright = {Creative Commons Attribution Non Commercial No Derivatives 4.0 International}, titleurl = {sang2023high.png}, award = {Spotlight Presentation}, keywords = {3d-reconstruction,rgb-d,photometry}, }