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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Damon, James (Συγγραφέας), Giblin, Peter (Συγγραφέας), Haslinger, Gareth (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
Σειρά:Lecture Notes in Mathematics, 2165
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.