{
"item_title" : "Handbook of Mathematical Models in Computer Vision",
"item_author" : [" Nikos Paragios", "Yunmei Chen", "Olivier D. Faugeras "],
"item_description" : "A marriage of mathematics and computer vision - computational vision - has resulted in an innovative approach to image processing that is reliable across an expanding range of practical tasks. This volume provides a detailed discourse on the mathematical models used in computational vision, from leading educators and active research experts in this field. Topics include: image reconstruction, segmentation and object extraction, shape modeling and registration, motion analysis and tracking, and 3D from images, geometry and reconstruction. The book also includes a detailed study of applications in medical image analysis.",
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Handbook of Mathematical Models in Computer Vision
Overview
A marriage of mathematics and computer vision - computational vision - has resulted in an innovative approach to image processing that is reliable across an expanding range of practical tasks. This volume provides a detailed discourse on the mathematical models used in computational vision, from leading educators and active research experts in this field. Topics include: image reconstruction, segmentation and object extraction, shape modeling and registration, motion analysis and tracking, and 3D from images, geometry and reconstruction. The book also includes a detailed study of applications in medical image analysis.
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Details
- ISBN-13: 9781441938855
- ISBN-10: 1441938850
- Publisher: Springer
- Publish Date: October 2010
- Dimensions: 9.21 x 6.14 x 1.29 inches
- Shipping Weight: 1.95 pounds
- Page Count: 606
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