![Statistical Models Of Shape (Hb)](https://d3525k1ryd2155.cloudfront.net/f/374/001/9781848001374.OL.0.l.jpg)
Statistical Models Of Shape (Hb) Hardcover - 2009
by Davies R
- New
Description
Standard delivery: 20 to 30 days
Details
- Title Statistical Models Of Shape (Hb)
- Author Davies R
- Binding Hardcover
- Edition U. S. EDITION
- Condition New
- Pages 302
- Volumes 1
- Language ENG
- Publisher Springer
- Date 2009
- Features Glossary
- Bookseller's Inventory # CBS-9781848001374
- ISBN 9781848001374 / 1848001371
- Weight 1.45 lbs (0.66 kg)
- Dimensions 9.3 x 6.1 x 0.7 in (23.62 x 15.49 x 1.78 cm)
- Library of Congress Catalog Number 2008933222
- Dewey Decimal Code 514.24
About Sanctum Books Delhi, India
We are leading publishers, booksellers, distributors, importers, and exporters. We carry a large selection of books on varied subjects. Do place your valued order or let us know your requirement via email.
30 day return guarantee, with full refund including shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.
�
We accept VISA/MasterCard/American Express. We also accept payments by PayPal in favour of orders@sanctumbooks.com, Bank Draft (Banker's Cheque) favouring Sanctum Books, or Bank Transfer (Account no. 0031167221, Swift Code: CITIINBX, Citibank, Jeevan Bharati Building, Connaught Circus, New Delhi 110 001, India). Cheques may be made payable to Sanctum Books, New Delhi. Books are shipped by registered Air Mail or SAL (Surface Air Lifted). Additional shipping charges may be required for multi-volume sets.
From the publisher
From the rear cover
Statistical models of shape, learnt from a set of examples, are a widely-used tool in image interpretation and shape analysis. Integral to this learning process is the establishment of a dense groupwise correspondence across the set of training examples.
This book gives a comprehensive and up-to-date account of the optimisation approach to shape correspondence, and the question of evaluating the quality of the resulting model in the absence of ground-truth data. It begins with a complete account of the basics of statistical shape models, for both finite and infinite-dimensional representations of shape, and includes linear, non-linear, and kernel-based approaches to modelling distributions of shapes. The optimisation approach is then developed, with a detailed discussion of the various objective functions available for establishing correspondence, and a particular focus on the Minimum Description Length approach. Various methods for the manipulation of correspondence for shape curves and surfaces are dealt with in detail, including recent advances such as the application of fluid-based methods.
This complete and self-contained account of the subject area brings together results from a fifteen-year program of research and development. It includes proofs of many of the basic results, as well as mathematical appendices covering areas which may not be totally familiar to some readers. Comprehensive implementation details are also included, along with extensive pseudo-code for the main algorithms. Graduate students, researchers, teachers, and professionals involved in either the development or the usage of statistical shape models will find this an essential resource.