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@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{Oswald-et-al-dagm09,
 author = {M. R. Oswald and E. Toeppe and K. Kolev and D. Cremers},
 title = {Non-Parametric Single View Reconstruction of Curved Objects using Convex Optimization},
 booktitle = {Pattern Recognition (Proc. DAGM)},
 year = {2009},
 address = {Jena, Germany},
 month = {September},
 titleurl = {otkc_dagm09.pdf},
 award = {Received a DAGM Paper Award},
 topic = {Single View Reconstruction, Convex Relaxation Methods},
 pages = {171-180},
 keywords = {singleview, convex-relaxation},
}

@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 = {{<a href="http://www.springer.de/comp/lncs/index.html">Springer-Verlag Berlin Heidelberg 2007</a>}},
 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},
}

@article{Goldluecke-et-al-ijcv14,
 author = {B. Goldluecke and M. Aubry and K. Kolev and D. Cremers},
 title = {A Super-resolution Framework for High-Accuracy Multiview Reconstruction},
 journal = {International Journal of Computer Vision},
 year = {2014},
 month = {jan},
 volume = {106},
 number = {2},
 pages = {172-191},
 keywords = {convex-relaxation},
 titleurl = {goldluecke-et-al-ijcv14.pdf},
}

@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 = {{<a href="http://www.springer.de/comp/lncs/index.html">Springer-Verlag Berlin Heidelberg 2006</a>}},
 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{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},
}

@phdthesis{Kolev-diss,
 author = {K. Kolev},
 title = {Convexity in Image-Based 3D Surface Reconstruction},
 school = {Department of Computer Science, Technical University Munich, Germany},
 month = {January},
 year = {2012},
 titleurl = {Kolev-diss.pdf},
 keywords = {convex-relaxation},
}