C++博客-chenpingjun1990-文章分类-VisionPaperhttp://www.cppblog.com/chenpingjun1990/category/19610.htmlzh-cnWed, 11 Jul 2012 05:30:53 GMTWed, 11 Jul 2012 05:30:53 GMT60The Shape Boltzmann Machine: a Strong Model of Object Shapehttp://www.cppblog.com/chenpingjun1990/articles/182787.html万川先生万川先生Wed, 11 Jul 2012 03:03:00 GMThttp://www.cppblog.com/chenpingjun1990/articles/182787.htmlhttp://www.cppblog.com/chenpingjun1990/comments/182787.htmlhttp://www.cppblog.com/chenpingjun1990/articles/182787.html#Feedback0http://www.cppblog.com/chenpingjun1990/comments/commentRss/182787.htmlhttp://www.cppblog.com/chenpingjun1990/services/trackbacks/182787.htmlgraphics, etc.
       In this paper, we use a type of Deep Boltzmann Machine that we call a Shape Boltzmann Machine (ShapeBM) for the task of modeling binary shape images.
       This paper define a strong model should meets two requirements:Realism/Generalization.
        Previous approaches to modeling 2D shape:1.Grid MRF/CRF 2.PCA/Factor Analysis 3.template shapes 4.Shape fragments.
        The main contribution of this paper is to show how a strong model of binary shape can be constructed using a form of DBM,We demonstrate that a ShapeBM trained on a relatively small dataset is both able to generate realistic samples and to generalize to generate samples that differ form images in the training dataset.


/Files/chenpingjun1990/cvpr_12_Shape_Boltzmann_Machine.pdf

/Files/chenpingjun1990/cvpr_12_eslami_shapebm_code.zip

"The Shape Boltzmann Machine: a Strong Model of Object Shape" 
Eslami, S.M., Heess, N., Winn, J.
Computer Vision and Pattern Recognition (CVPR), June 2012. 


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