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 objects wit...

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Bibliographic Details
Main Authors: Damon, James (Author), Giblin, Peter (Author), Haslinger, Gareth (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Series:Lecture Notes in Mathematics, 2165
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • 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.