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Statistical Models of Shape Optimisation and Evaluation /
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-dat...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
Springer London : Imprint: Springer,
2008.
|
| Edición: | 1st ed. 2008. |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-1-84800-138-1 | ||
| 003 | DE-He213 | ||
| 005 | 20220118061051.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 100301s2008 xxk| s |||| 0|eng d | ||
| 020 | |a 9781848001381 |9 978-1-84800-138-1 | ||
| 024 | 7 | |a 10.1007/978-1-84800-138-1 |2 doi | |
| 050 | 4 | |a TA1634 | |
| 072 | 7 | |a UYQV |2 bicssc | |
| 072 | 7 | |a COM012000 |2 bisacsh | |
| 072 | 7 | |a UYQV |2 thema | |
| 082 | 0 | 4 | |a 006.37 |2 23 |
| 100 | 1 | |a Davies, Rhodri. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Statistical Models of Shape |h [electronic resource] : |b Optimisation and Evaluation / |c by Rhodri Davies, Carole Twining, Chris Taylor. |
| 250 | |a 1st ed. 2008. | ||
| 264 | 1 | |a London : |b Springer London : |b Imprint: Springer, |c 2008. | |
| 300 | |a XII, 302 p. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 505 | 0 | |a Statistical Models of Shape and Appearance -- Establishing Correspondence -- Objective Functions -- Re-parameterisation of Open and Closed Curves -- Parameterisation and Re-parameterisation of Surfaces -- Optimisation -- Non-parametric Regularization -- Evaluation of Statistical Models. | |
| 520 | |a 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. | ||
| 650 | 0 | |a Computer vision. | |
| 650 | 0 | |a Image processing-Digital techniques. | |
| 650 | 0 | |a Pattern recognition systems. | |
| 650 | 1 | 4 | |a Computer Vision. |
| 650 | 2 | 4 | |a Computer Imaging, Vision, Pattern Recognition and Graphics. |
| 650 | 2 | 4 | |a Automated Pattern Recognition. |
| 700 | 1 | |a Twining, Carole. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Taylor, Chris. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9781848821989 |
| 776 | 0 | 8 | |i Printed edition: |z 9781848001374 |
| 776 | 0 | 8 | |i Printed edition: |z 9781447160427 |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-1-84800-138-1 |z Texto Completo |
| 912 | |a ZDB-2-SCS | ||
| 912 | |a ZDB-2-SXCS | ||
| 950 | |a Computer Science (SpringerNature-11645) | ||
| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||