| 书目名称 | Optimization Techniques in Computer Vision |
| 副标题 | Ill-Posed Problems a |
| 编辑 | Mongi A. Abidi,Andrei V. Gribok,Joonki Paik |
| 视频video | |
| 概述 | Features a comprehensive description of regularization through optimization.Contains a large selection of data fusion algorithms.Includes chapters devoted to video compression and enhancement.Includes |
| 丛书名称 | Advances in Computer Vision and Pattern Recognition |
| 图书封面 |  |
| 描述 | This book presents practical optimization techniques used in image processing and computer vision problems. Ill-posed problems are introduced and used as examples to show how each type of problem is related to typical image processing and computer vision problems. Unconstrained optimization gives the best solution based on numerical minimization of a single, scalar-valued objective function or cost function. Unconstrained optimization problems have been intensively studied, and many algorithms and tools have been developed to solve them. Most practical optimization problems, however, arise with a set of constraints. Typical examples of constraints include: (i) pre-specified pixel intensity range, (ii) smoothness or correlation with neighboring information, (iii) existence on a certain contour of lines or curves, and (iv) given statistical or spectral characteristics of the solution. Regularized optimization is a special method used to solve a class of constrained optimization problems.The term regularization refers to the transformation of an objective function with constraints into a different objective function, automatically reflecting constraints in the unconstrained minimizati |
| 出版日期 | Book 2016 |
| 关键词 | regularization parameter selection; shape representation in image processing; image interpolation algo |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-46364-3 |
| isbn_softcover | 978-3-319-83501-3 |
| isbn_ebook | 978-3-319-46364-3Series ISSN 2191-6586 Series E-ISSN 2191-6594 |
| issn_series | 2191-6586 |
| copyright | Springer International Publishing Switzerland 2016 |
发表于 2025-3-21 19:33:04
