When the a contrario approach becomes generative
暂无分享,去创建一个
[1] Song-Chun Zhu,et al. Embedding Gestalt Laws in Markov Random Fields , 1999, IEEE Trans. Pattern Anal. Mach. Intell..
[2] Yann Gousseau,et al. An A Contrario Decision Method for Shape Element Recognition , 2006, International Journal of Computer Vision.
[3] Song-Chun Zhu,et al. Filters, Random Fields and Maximum Entropy (FRAME): Towards a Unified Theory for Texture Modeling , 1998, International Journal of Computer Vision.
[4] Lionel Moisan,et al. Edge Detection by Helmholtz Principle , 2001, Journal of Mathematical Imaging and Vision.
[5] Patrick Bouthemy,et al. An a contrario Decision Framework for Region-Based Motion Detection , 2006, International Journal of Computer Vision.
[6] A. Witkin,et al. On the Role of Structure in Vision , 1983 .
[7] Song-Chun Zhu,et al. Minimax Entropy Principle and Its Application to Texture Modeling , 1997, Neural Computation.
[8] F. Cao. Application of the Gestalt principles to the detection of good continuations and corners in image level lines , 2004 .
[9] Agnès Desolneux,et al. Significant edges in the case of a non-stationary Gaussian noise , 2006, math/0606219.
[10] D. Mumford,et al. Pattern Theory: The Stochastic Analysis of Real-World Signals , 2010 .
[11] Jean-Michel Morel,et al. From Gestalt Theory to Image Analysis: A Probabilistic Approach , 2007 .
[12] Julie Delon,et al. A Unified Framework for Detecting Groups and Application to Shape Recognition , 2007, Journal of Mathematical Imaging and Vision.
[13] William C. Waterhouse,et al. Do Symmetric Problems Have Symmetric Solutions , 1983 .
[14] Rafael Grompone von Gioi,et al. LSD: a Line Segment Detector , 2012, Image Process. Line.
[15] Patrick Pérez,et al. Reconstructing an image from its local descriptors , 2011, CVPR 2011.
[16] Azriel Rosenfeld,et al. Human and Machine Vision , 1983 .
[17] Peter Harremoës,et al. Binomial and Poisson distributions as maximum entropy distributions , 2001, IEEE Trans. Inf. Theory.
[18] Julie Delon,et al. A Nonparametric Approach for Histogram Segmentation , 2007, IEEE Transactions on Image Processing.
[19] Hermann von Helmholtz,et al. Treatise on Physiological Optics , 1962 .
[20] Lionel Moisan,et al. A Grouping Principle and Four Applications , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[21] Tatsuya Harada,et al. Image Reconstruction from Bag-of-Visual-Words , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[22] M. Payton,et al. Bounds for the difference between median and mean of beta and negative binomial distributions , 1989 .
[23] Lionel Moisan,et al. Meaningful Alignments , 2000, International Journal of Computer Vision.
[24] Yann Gousseau,et al. Beyond Independence: An Extension of the A Contrario Decision Procedure , 2012, International Journal of Computer Vision.
[25] Jean-Michel Morel,et al. Computational gestalts and perception thresholds , 2003, Journal of Physiology-Paris.
[26] David G. Lowe,et al. Perceptual Organization and Visual Recognition , 2012 .
[27] Rafael Grompone von Gioi,et al. LSD: A Fast Line Segment Detector with a False Detection Control , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[29] Patrick Pérez,et al. Poisson image editing , 2003, ACM Trans. Graph..
[30] Jean-Michel Morel,et al. From Gestalt Theory to Image Analysis , 2008 .
[31] Laura Igual,et al. Automatic low baseline stereo in urban areas , 2007 .
[32] Lionel Moisan,et al. A-contrario Detectability of Spots in Textured Backgrounds , 2009, Journal of Mathematical Imaging and Vision.
[33] L. Moisan,et al. Maximal meaningful events and applications to image analysis , 2003 .
[34] Lionel Moisan,et al. A Probabilistic Criterion to Detect Rigid Point Matches Between Two Images and Estimate the Fundamental Matrix , 2004, International Journal of Computer Vision.
[35] Julie Delon,et al. Automatic color palette , 2005, IEEE International Conference on Image Processing 2005.
[36] R. Kaas,et al. Mean, Median and Mode in Binomial Distributions , 1980 .
[37] T. Troscianko,et al. AI and the eye , 1990 .
[38] H. D. Brunk,et al. AN EMPIRICAL DISTRIBUTION FUNCTION FOR SAMPLING WITH INCOMPLETE INFORMATION , 1955 .