| Geometric Properties for Incomplete Data 2006 Edition Contributor(s): Klette, Reinhard (Editor), Kozera, Ryszard (Editor), Noakes, Lyle (Editor) |
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ISBN: 1402038577 ISBN-13: 9781402038570 Publisher: Springer OUR PRICE: $52.24 Product Type: Hardcover - Other Formats Published: December 2005 Annotation: 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 students in computer science, electrical engineering or mathematics who take an interest in data evaluations by approximation or interpolation, in particular data obtained in an image analysis context. |
| Additional Information |
| BISAC Categories: - Computers | Computer Graphics - Computers | Computer Vision & Pattern Recognition - Mathematics | Mathematical Analysis |
| Dewey: 006.37 |
| LCCN: 2007468796 |
| Series: Computational Imaging and Vision |
| Physical Information: 0.94" H x 6.14" W x 9.21" (1.66 lbs) 392 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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 students in computer science, electrical engineering or mathematics who take an interest in data evaluations by approximation or interpolation, in particular data obtained in an image analysis context. |