Cargando…
Local Features in Natural Images via Singularity Theory
This monograph considers a basic problem in the computer analysis of natural images, which are images of scenes involving multiple objects that are obtained by a camera lens or a viewer's eye. The goal is to detect geometric features of objects in the image and to separate regions of the object...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
|
| Edición: | 1st ed. 2016. |
| Colección: | Lecture Notes in Mathematics,
2165 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Introduction
- Overview
- Part I-Mathematical Basis for Analysis of Feature-Shade/Shadow- Contours
- Abstract Classification of Singularities Preserving Features
- Singularity Equivalence Groups Capturing Interactions
- Methods for Classification of Singularities
- Methods for Topological Classification of Singularities
- Part II-The Classification of Interactions Involving Feature- Shade/Shadow-Contours
- Stratifications of Generically Illuminated Surfaces with Geometric Features
- Realizations of Abstract Mappings Representing Projection Singularities
- Statements of the Main Classification Results
- Part III-Classifications of Interactions of Pairs of Feature- Shade/Shadow-Contours
- Stable View Projections and Transitions involving Shade/Shadow Curves on a Smooth Surface (SC)
- Transitions involving Views of Geometric Features (FC)
- Part IV-Classifications of Multiple Interactions
- Transitions involving Geometric Features and Shade/Shadow Curves (SFC)
- Classifications of Stable Multilocal Configurations and Their Generic Transitions
- Bibliography.