Click on a thumbnail to go to Google Books.
A Stochastic Grammar of Images (edition 2007)
by Song-Chun Zhu
A Stochastic Grammar of Images by Song-Chun Zhu
No current Talk conversations about this book.
A Stochastic Grammar of Images is the first book to provide a foundational review and perspective of grammatical approaches to computer vision. In its quest for a stochastic and context sensitive grammar of images, it is intended to serve as a unified frame-work of representation, learning, and recognition for a large number of object categories. It starts out by addressing the historic trends in the area and overviewing the main concepts: such as the and-or graph, the parse graph, the dictionary and goes on to learning issues, semantic gaps between symbols and pixels, dataset for learning and algorithms. The proposal grammar presented integrates three prominent representations in the literature: stochastic grammars for composition, Markov (or graphical) models for contexts, and sparse coding with primitives (wavelets). It also combines the structure-based and appearance based methods in the vision literature. At the end of the review, three case studies are presented to illustrate the proposed grammar. A Stochastic Grammar of Images is an important contribution to the literature on structured statistical models in computer vision.
No library descriptions found.
Amazon Kindle (0 editions)
Audible (0 editions)
CD Audiobook (0 editions)
Project Gutenberg (0 editions)
Google Books — Loading...
Melvil Decimal System (DDC)621.36 — Technology and Application of Knowledge Engineering and allied operations Applied physics Electrical, magnetic, optical, communications, computer engineering; electronics, lighting Optical engineering
RatingAverage: No ratings.
Is this you?
Become a LibraryThing Author.