Innovations for Shape Analysis : Models and Algorithms
Language: English
Published by Springer, 2015
- Softcover
- Used

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- Title
- Innovations for Shape Analysis : Models and Algorithms
- Author
- Breuss, Michael (EDT); Bruckstein, Alfred (EDT); Maragos, Petros (EDT)
- Publisher
- Springer
- Publication year
- 2015
- Condition
- As New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3642442153
- ISBN 13
- 9783642442155
- Series
- Book 21 of 40: Mathematics and Visualization
The concept of 'shape' is at the heart of image processing and computer vision, yet researchers still have some way to go to replicate the human brain's ability to extrapolate meaning from the most basic of outlines. This volume reflects the advances of the last decade, which have also opened up tough new challenges in image processing. Today's applications require flexible models as well as efficient, mathematically justified algorithms that allow data processing within an acceptable timeframe.
Examining important topics in continuous-scale and discrete modeling, as well as in modern algorithms, the book is the product of a key seminar focused on innovations in the field. It is a thorough introduction to the latest technology, especially given the tutorial style of a number of chapters. It also succeeds in identifying promising avenues for future research. The topics covered include mathematical morphology, skeletonization, statistical shape modeling, continuous-scale shape models such as partial differential equations and the theory of discrete shape descriptors. Some authors highlight new areas of enquiry such as partite skeletons, multi-component shapes, deformable shape models, and the use of distance fields.
Combining the latest theoretical analysis with cutting-edge applications, this book will attract both academics and engineers.
"Synopsis" may belong to another edition of this title.
From the Back Cover
The concept of 'shape' is at the heart of image processing and computer vision, yet researchers still have some way to go to replicate the human brain's ability to extrapolate meaning from the most basic of outlines. This volume reflects the advances of the last decade, which have also opened up tough new challenges in image processing. Today's applications require flexible models as well as efficient, mathematically justified algorithms that allow data processing within an acceptable timeframe.
Examining important topics in continuous-scale and discrete modeling, as well as in modern algorithms, the book is the product of a key seminar focused on innovations in the field. It is a thorough introduction to the latest technology, especially given the tutorial style of a number of chapters. It also succeeds in identifying promising avenues for future research. The topics covered include mathematical morphology, skeletonization, statistical shape modeling, continuous-scale shape models such as partial differential equations and the theory of discrete shape descriptors. Some authors highlight new areas of enquiry such as partite skeletons, multi-component shapes, deformable shape models, and the use of distance fields.
Combining the latest theoretical analysis with cutting-edge applications, this book will attract both academics and engineers.
"About the title" may belong to another edition of this title.
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