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. Ed(S): Klette, Reinhard; Kozera, Ryszard; Noakes, Lyle; Weickert, Joachim - Geometric Properties for Incomplete Data - 9781402038570 - V9781402038570
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Geometric Properties for Incomplete Data

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Description for Geometric Properties for Incomplete Data Hardback. Computer vision and image analysis require interdisciplinary collaboration between mathematics and engineering. This book addresses the area of high-accuracy measurements of length, curvature, motion parameters and other geometrical quantities from acquired image data. Editor(s): Klette, Reinhard; Kozera, Ryszard; Noakes, Lyle; Weickert, Joachim. Series: Computational Imaging and Vision. Num Pages: 408 pages, biography. BIC Classification: PBM. Category: (P) Professional & Vocational. Dimension: 297 x 210 x 23. Weight in Grams: 752.

Computer vision and image analysis require interdisciplinary collaboration between mathematics and engineering. This book addresses the area of high-accuracy measurements of length, curvature, motion parameters and other geometrical quantities from acquired image data. It is a common problem that these measurements are incomplete or noisy, such that considerable efforts are necessary to regularise the data, to fill in missing information, and to judge the accuracy and reliability of these results. This monograph brings together contributions from researchers in computer vision, engineering and mathematics who are working in this area.

The book can be read both by specialists and graduate ... Read more

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Product Details

Format
Hardback
Publication date
2005
Publisher
Springer-Verlag New York Inc. United States
Number of pages
408
Condition
New
Series
Computational Imaging and Vision
Number of Pages
392
Place of Publication
New York, NY, United States
ISBN
9781402038570
SKU
V9781402038570
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Geometric Properties for Incomplete Data
From the reviews: "This compendium should be treated as a higher-level text with the target audience being computer scientists, electrical engineers, and mathematician, both in the research and industrial settings. Graduate-level students interested in pursuing advanced treatments of the topic can benefit from reading this book as well. … This text is an important and ... Read more

Goodreads reviews for Geometric Properties for Incomplete Data


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