@Misc{opencv, author = {Victor Eruhimov}, title = {stereo\_match.cpp sample program}, howpublished = {provided with OpenCV software library version 2.2.0 http://opencv.willowgarage.com/wiki/}, month = jan, year = {2010}, } % This file was created with JabRef 2.6. % Encoding: UTF-8 @ARTICLE{Brown03, author = {{M. Z.} Brown and {D.} Burschka and {G. D.} Hager}, title = {Advances in Computational Stereo}, journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence}, year = {2003}, volume = {25}, pages = {993-1008}, number = {8} } @ARTICLE{Burrus09, author = {Burrus, N. and Bernard, T. M. and Jolion, J.-M.}, title = {Image segmentation by a contrario simulation}, journal = {Pattern Recognition}, year = {2009}, volume = {42}, pages = {1520--1532}, number = {7}, month = {July}, abstract = {Segmenting an image into homogeneous regions generally involves a decision criterion to establish whether two adjacent regions are similar. Decisions should be adaptive to get robust and accurate segmentation algorithms, avoid hazardous a priori and have a clear interpretation. We propose a decision process based on a contrario reasoning: two regions are meaningfully different if the probability of observing such a difference in pure noise is very low. Since the existing analytical methods are intractable in our case, we extend them to allow a mixed use of analytical computations and Monte-Carlo simulations. The resulting decision criterion is tested experimentally through a simple merging algorithm, which can be used as a post-filtering and validation step for existing segmentation methods.}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.patcog.2009.01.003}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S003132030900003X}, url = {http://dx.doi.org/10.1016/j.patcog.2009.01.003} } @ARTICLE{Cao04, author = {Cao, F.}, title = {Application of the {G}estalt principles to the detection of good continuations and corners in image level lines}, journal = {Computing and Visualisation in Science}, year = {2004}, volume = {7}, pages = {3-13} } @BOOK{Cao08, title = {A Theory of Shape Identification}, publisher = {Springer}, year = {2008}, author = {F. Cao and J.-L. Lisani and J.-M. Morel and P. Mus\'{e} F. Sur} } @ARTICLE{Delon07, author = {J. Delon and B. Roug\'{e}}, title = {Small Baseline Stereovision}, journal = {Journal of Mathematical Imaging and Vision}, year = {2007}, volume = {28}, pages = {209-223}, number = {3} } @BOOK{Desolneux07, title = {From Gestalt Theory to Image Analysis. A probabilistic Approach}, publisher = {Springer}, year = {2007}, author = {A. Desolneux and L. Moisan and J.M. Morel} } @ARTICLE{Egnal02, author = {Egnal, G. and Wildes, R. P.}, title = {Detecting Binocular Half-Occlusions: Empirical Comparisons of Five Approaches}, journal = {IEEE Transactions of Pattern Analysis and Machine Intellignece}, year = {2002}, volume = {24}, pages = {1127--1133}, number = {8}, address = {Washington, DC, USA}, doi = {http://dx.doi.org/10.1109/TPAMI.2002.1023808}, issn = {0162-8828}, publisher = {IEEE Computer Society} } @ARTICLE{Forstmann04, author = {S. Forstmann and Y. Kanou and J. Ohya and S. Thuering and A. Schmitt}, title = {Real-Time Stereo by using Dynamic Programming}, journal = {In Conference on Computer Vision and Pattern Recognition Workshop}, year = {2004}, volume = {3}, pages = {29-36} } @ARTICLE{Grimson91, author = {W.E.L. Grimson and D.P. Huttenlocher}, title = {On the Verification of Hypothesized Matches in Model-Based Recognition}, journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence}, year = {1991}, volume = {13}, number = {12} } @ARTICLE{Harris88, author = {C. G. Harris and M. Stephens}, title = {A combined corner and edge detector}, journal = {4th Alvey Vision Conference}, year = {1988}, pages = {147-151} } @ARTICLE{Igual07, author = {L. Igual and J. Preciozzi and L. Garrido and A. Almansa and V. Caselles and B. Roug\'{e}}, title = {Automatic low baseline stereo in urban areas}, journal = {Inverse Problems and Imaging}, year = {2007}, volume = {1}, pages = {319-348}, number = {2} } @ARTICLE{Ishikawa03, author = {Ishikawa, H.}, title = {Exact optimization for markov random fields with convex priors}, journal = {IEEE Transactions of Pattern Analysis and Machine Intellignece}, year = {2003}, volume = {25(10)}, pages = {1333-1336}, owner = {neussabater}, timestamp = {2011.02.02} } @ARTICLE{Szeliski01, author = {S. B. Kang and R. Szeliski and J. Chai}, title = {Handling occlusions in dense multi-view stereo.}, journal = {Computer Vision Pattern Recocgition}, year = {2001}, volume = {1}, pages = {103--110}, owner = {sabater}, timestamp = {2010.06.09} } @INPROCEEDINGS{Klaus06, author = {Klaus, A. and Sormann, M.and Karner, K.}, title = {Segment-Based Stereo Matching Using Belief Propagation and a Self-Adapting Dissimilarity Measure}, booktitle = {Proceedings of the International Conference on Pattern Recognition}, year = {2006}, pages = {15--18} } @BOOK{Kolmogorov05, title = {Graph Cut Algorithms for Binocular Stereo with Occlusions}, publisher = {Mathematical Models in Computer Vision: The Handbook, Springer-Verlag}, year = {2005}, author = {V. Kolmogorov and R. Zabih} } @ARTICLE{Lowe04, author = {D. Lowe}, title = {Distinctive Image Features from Scale-Invariant Keypoints}, journal = {International Journal of Computer Vision}, year = {2004}, volume = {60}, pages = {91-110}, number = {2} } @BOOK{Lowe85, title = {Perceptual Organization and Visual Recognition}, publisher = {Kluwer Academic Publishers}, year = {1985}, author = {D. Lowe} } @ARTICLE{Mairal08, author = {Mairal, J. and Elad, M. and Sapiro, G.}, title = {Sparse Representation for Color Image Restoration}, journal = {IEEE Transactions on Image Processing}, year = {2008}, volume = {17}, pages = {53-69}, number = {1} } @ARTICLE{Manduchi99, author = {Manduchi, R. and Tomasi, C.}, title = {Distinctiveness Maps for Image Matching}, journal = {Proceedings of the International Conference on Image Analysis and Processing}, year = {1999}, pages = {26--31}, booktitle = {Proceedings of the 10th International Conference on Image Analysis and Processing}, isbn = {0-7695-0040-4}, publisher = {IEEE Computer Society} } @ARTICLE{Mikolajczyk03, author = {K. Mikolajczyk and C. Schmid}, title = {A performance evaluation of local descriptors}, journal = {IEEE Conference on Computer Vision and Pattern Recognition}, year = {2003}, volume = {2}, pages = {257-263} } @ARTICLE{Mittal04, author = {Mittal, A. and Paragios, N. }, title = {Motion-based background subtraction using adaptive kernel density estimation}, journal = {Computer Vision and Pattern Recognition}, year = {2004}, volume = {2}, pages = {302--309} } @ARTICLE{Moisan04, author = {L. Moisan and B. Stival}, title = {A probabilistic criterion to detect rigid point matches between two images and estimate the fundamental matrix}, journal = {International Journal of Computer Vision}, year = {2004}, volume = {57}, pages = {201-218}, number = {3} } @ARTICLE{Mordohai06, author = {Mordohai, P. and Medioni, G.}, title = {Stereo Using Monocular Cues within the Tensor Voting Framework}, journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence}, year = {2006}, volume = {28}, pages = {968--982}, owner = {sabater}, timestamp = {2009.09.11} } @ARTICLE{Muse06, author = {P. Mus\'{e} and F. Sur and F. Cao and Y. Gousseau and J.-M. Morel}, title = {An A Contrario Decision Method for Shape Element Recognition}, journal = {International Journal of Computer Vision}, year = {2006}, volume = {69}, pages = {295-315}, number = {3}, publisher = {Springer} } @ARTICLE{Muse03, author = {Mus\'{e}, P. and Sur, F. and Morel, J.-M.}, title = {Sur les seuils de reconnaissance des formes}, journal = {Traitement du Signal}, year = {2003}, volume = {20}, pages = {279--294}, number = {3}, address = {Saint-Martin d'H\`{e}res, FRANCE}, booktitle = {Congr\`{e}s Le traitement du signal \`{a} l'aube du XXIe si\`{e}cle. Journ\'{e}es d'\'{e}tude, Paris , FRANCE (27/03/2002)}, citeulike-article-id = {5445593}, citeulike-linkout-0 = {http://cat.inist.fr/?aModele=afficheN\&\#38;cpsidt=15370125}, institution = {Groupe de recherche et d'\'{e}tude de traitement du signal et des images}, issn = {0765-0019}, keywords = {pca-patent}, posted-at = {2009-08-16 17:26:23}, priority = {2}, url = {http://cat.inist.fr/?aModele=afficheN\&\#38;cpsidt=15370125} } @ARTICLE{Nee08, author = {N\'{e}e, G. and Jehan-Besson, S.e and Brun, L. and Revenu, M.}, title = {Significance Tests and Statistical Inequalities for Region Matching}, journal = {Structural, Syntactic, and Statistical Pattern Recognition}, year = {2008}, pages = {350--360}, abstract = {Region matching - finding conjugate regions on a pair of images - plays a fundamental role in computer vision. Indeed, such methods have numerous applications such as indexation, motion estimation or tracking. In the vast literature on the subject, several dissimilarity measures have been proposed in order to determine the true match for each region. In this paper, under statistical hypothesis of similarity, we provide an improved decision rule for patch matching based on significance tests and the statistical inequality of McDiarmid. The proposed decision rule allows to validate or not the similarity hypothesis and so to automatically detect matching outliers. The approach is applied to motion estimation and object tracking on noisy video sequences. Note that the proposed framework is robust against noise, avoids the use of statistical tests and may be related to the a contrario approach.}, citeulike-article-id = {5627511}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/978-3-540-89689-0\_39}, citeulike-linkout-1 = {http://www.springerlink.com/content/fw14013k25705x5p}, doi = {10.1007/978-3-540-89689-0\_39}, keywords = {pca-patent}, posted-at = {2009-08-23 17:39:27}, priority = {0}, url = {http://dx.doi.org/10.1007/978-3-540-89689-0\_39} } @ARTICLE{Ohta85, author = {Y. Ohta and T. Kanade}, title = {Stereo by Intra- and Inter-Scanline Search Using Dynamic Programming}, journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence}, year = {1985}, volume = {7}, pages = {139-154}, number = {2} } @ARTICLE{Patwardhan08, author = {Patwardhan, K. A. and Sapiro, G. and Morellas, V. }, title = {Robust Foreground Detection In Video Using Pixel Layers}, journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence}, year = {2008}, volume = {30}, pages = {746--751}, number = {4} } @INPROCEEDINGS{Pock08, author = {Pock, T. and Schoenemann, T. and Graber, G. and Bischof, H. and Cremers, D.}, title = {A Convex Formulation of Continuous Multi-label Problems}, booktitle = {Proceedings of the European Conference on Computer Vision}, year = {2008}, pages = {792--805}, address = {Berlin, Heidelberg}, publisher = {Springer-Verlag}, acmid = {1478235}, doi = {10.1007/978-3-540-88690-7_59}, isbn = {978-3-540-88689-1}, location = {Marseille, France}, numpages = {14}, url = {http://portal.acm.org/citation.cfm?id=1478172.1478235} } @CONFERENCE{Rabin07, author = {J. Rabin and J. Delon and Y.Gousseau}, title = {A contrario matching of SIFT-like descriptors}, booktitle = {International Conference on Pattern Recognition}, year = {2008} } @TECHREPORT{Robin09, author = {Robin, A. and Moisan, L. and Le H\'{e}garat-Mascle, S.}, title = {An a-contrario approach for sub-pixel change detection in satellite imagery}, institution = {Universit\'{e} Paris Descartes}, year = {2009}, number = {MAP5 Nro. 2009-15}, abstract = {This paper presents a new method for unsupervised sub-pixel change detection using image series. The method is based on the definition of a probabilistic criterion capable of assessing the level of coherence of an image series relatively to a reference classification with a finer resolution. In opposition to approaches based on an a priori model of the data, the model developed here is based on the rejection of a non-structured model — called a-contrario model — by the observation of structured data. This coherence measure is the core of a stochastic algorithm which selects automatically the image subdomain representing the most likely changes. A theoretical analysis of this model is led to predict its performances, in particular regarding the contrast level of the image as well as the number of change pixels in the image. Numerical simulations are also presented, that confirm the high robustness of the method and its capacity to detect changes impacting more than 25\% of a considered pixel under average conditions. An application to land-cover change detection is then provided using time series of satellite images.applications, changes can typically consist in natural land- cover transformations (intra or inter-annual variability) or human-induced changes (e.g. forest cuts, crop rotation). The approach presented here applies as well to multitemporal change detection using image time series as to bi-date change detection using single or multi-spectral images. In the literature, a wide range of change detection methods has been proposed to analyze image series (with all images to the same spatial resolution). Most of them are based either on classification processes (post-classification comparison, joint classification [8] or fusion of classifications [9]), on change vector analysis and thresholding [10]–[12], or on predictive models [13], [14]. Some methods use Markov Random Fields in order to take into account the spatial neighborhood in the}, citeulike-article-id = {5445598}, keywords = {pca-patent}, posted-at = {2009-08-16 17:31:14}, priority = {2} } @INPROCEEDINGS{Sabater10, author = {Sabater, N. and Morel, J.-M. and Almansa, A. and Blanchet, G.}, title = {Discarding Moving Objects in Quasi-Simultaneous Stereovision}, booktitle = {IEEE International Conference on Image Processing, ICIP}, year = {2010} } @CONFERENCE{Sara02, author = {Sara, R.}, title = {Finding the Largest Unambiguous Component of Stereo Matching}, booktitle = {Proceedings of the European Conference on Computer Vision-Part III}, year = {2002}, pages = {900--914}, publisher = {Springer-Verlag}, isbn = {3-540-43746-0} } @ARTICLE{Scharstein02, author = {D. Scharstein and R. Szeliski}, title = {A taxonomy and evaluation of dense two-frame stereo correspondence algorithms}, journal = {International Journal of Computer Vision}, year = {2002}, volume = {47}, pages = {7-42}, number = {47(1/2/3)} } @ARTICLE{Schmid00, author = {C. Schmid and A. Zisserman}, title = {The Geometry and Matching of Lines and Curves Over Multiple Views}, journal = {International Journal of Computer Vision}, year = {2000}, volume = {40}, pages = {199-234}, number = {3} } @ARTICLE{shannon2001mathematical, author = {Shannon, C.E.}, title = {{A mathematical theory of communication}}, journal = {ACM SIGMOBILE Mobile Computing and Communications Review}, year = {2001}, volume = {5}, pages = {3--55}, number = {1}, issn = {1559-1662}, publisher = {ACM} } @ARTICLE{Stewart95, author = {C.V. Stewart}, title = {MINPRAN: A New Robust Estimator for Computer Vision}, journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence}, year = {1995}, volume = {17}, pages = {925-938}, number = {10} } @ARTICLE{Tomasi98, author = {Tomasi, C. and Manduchi, R.}, title = {Stereo Matching as a Nearest-Neighbor Problem}, journal = {IEEE Transaction on Pattern Analysis and Machine Intelligence}, year = {1998}, volume = {20}, pages = {333--340}, number = {3}, doi = {http://dx.doi.org/10.1109/34.667890}, issn = {0162-8828}, owner = {sabater}, publisher = {IEEE Computer Society}, timestamp = {2010.06.24} } @INPROCEEDINGS{Veksler03, author = {Veksler, O.}, title = {Extracting dense features for visual correspondence with graph cuts}, booktitle = {Computer Vision and Pattern Recognition}, year = {2003}, volume = {1}, pages = {689--694}, owner = {sabater}, timestamp = {2009.09.11} } @ARTICLE{Veksler02, author = {Veksler, O.}, title = {Dense Features for Semi-Dense Stereo Correspondence}, journal = {International Journal of Computer Vision}, year = {2002}, volume = {47}, pages = {247--260}, number = {1-3}, doi = {http://dx.doi.org/10.1023/A:1014506211316}, issn = {0920-5691}, owner = {sabater}, publisher = {Kluwer Academic Publishers}, timestamp = {2010.07.01} } @INPROCEEDINGS{Yang06, author = {Yang, Q. and Wang, L. and Yang, R. and Stewenius, H. and Nister, D.}, title = {Stereo Matching with Color-Weighted Correlation, Hierachical Belief Propagation and Occlusion Handling}, booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition}, year = {2006}, pages = {2347--2354}, doi = {http://dx.doi.org/10.1109/CVPR.2006.292}, isbn = {0-7695-2597-0} } @comment{jabref-meta: selector_publisher:} @comment{jabref-meta: selector_author:} @comment{jabref-meta: selector_journal:} @comment{jabref-meta: selector_keywords:}