[PDF.65um] Markov Random Fields for Vision and Image Processing (MIT Press)
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Markov Random Fields for Vision and Image Processing (MIT Press)
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| #2202982 in Books | 2011-07-22 | Original language:English | PDF # 1 | 9.00 x.81 x7.00l,2.02 | File type: PDF | 472 pages||3 of 3 people found the following review helpful.| Wouldn't buy again, but no problems|By Kyle Wilshusen|This is just a collection of papers essentially. If you are buying this you should: 1. Want to read a specific "paper" in this book or 2. Have already checked out freely available code online, and want a cohesive set of papers that are connected to one another or 3. Really be writing some large paper|About the Author||Andrew Blake is Managing Director of Microsoft Research Cambridge (UK), where he has led the Computer Vision Research Group since 1999. Pushmeet Kohli and Carsten Rother are researchers in the Computer Vision Group at Microsoft Research Cambrid
This volume demonstrates the power of the Markov random field (MRF) in vision, treating the MRF both as a tool for modeling image data and, utilizing recently developed algorithms, as a means of making inferences about images. These inferences concern underlying image and scene structure as well as solutions to such problems as image reconstruction, image segmentation, 3D vision, and object labeling. It offers key findings and state-of-the-art research on both algorit...
You easily download any file type for your device.Markov Random Fields for Vision and Image Processing (MIT Press) | From The MIT Press. Which are the reasons I like to read books. Great story by a great author.
