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Dense Image Correspondences for Computer Vision
Hassner
€ 128.81
FREE Delivery in Ireland
Description for Dense Image Correspondences for Computer Vision
Hardcover. Editor(s): Hassner, Tal; Liu, Ce. Num Pages: 295 pages, 6 black & white illustrations, 146 colour illustrations, 20 black & white tables, biograp. BIC Classification: TJK; TTBM; UYQV; UYT. Category: (P) Professional & Vocational. Dimension: 235 x 155. .
This book describes the fundamental building-block of many new computer vision systems: dense and robust correspondence estimation. Dense correspondence estimation techniques are now successfully being used to solve a wide range of computer vision problems, very different from the traditional applications such techniques were originally developed to solve. This book introduces the techniques used for establishing correspondences between challenging image pairs, the novel features used to make these techniques robust, and the many problems dense correspondences are now being used to solve. The book provides information to anyone attempting to utilize dense correspondences in order to solve new or existing ... Read more
This book describes the fundamental building-block of many new computer vision systems: dense and robust correspondence estimation. Dense correspondence estimation techniques are now successfully being used to solve a wide range of computer vision problems, very different from the traditional applications such techniques were originally developed to solve. This book introduces the techniques used for establishing correspondences between challenging image pairs, the novel features used to make these techniques robust, and the many problems dense correspondences are now being used to solve. The book provides information to anyone attempting to utilize dense correspondences in order to solve new or existing ... Read more
Product Details
Format
Hardback
Publication date
2015
Publisher
Springer International Publishing AG Switzerland
Number of pages
295
Condition
New
Number of Pages
295
Place of Publication
Cham, Switzerland
ISBN
9783319230474
SKU
V9783319230474
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Hassner
Prof. Tal Hassner is a faculty member of the Department of Mathematics and Computer Science, The Open University of Israel, Israel. Ce Liu is a Researcher with Google.
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