Combinations of Deformable Shape Prototype

Abstract

We present a model-based technique for encoding non-rigid object classes in terms of object prototypes. Objects from the same class can be parameterized by identifying shape and appearance invariants of the class to devise low-level representations. The approach presented here creates a flexible model for an object class from a set of prototypes. This model is them used to estimate the parameters of low-level representation of novel objects as combinations of the prototype parameters. Variations in the object shape are modeled as non-rigid deformations. Appearance variations are modeled as intensity variations. Given sufficient number of prototypes that exhibit appropriate in-class variations, the shape and the texture vectors define a linear prototype subspace that spans the object class. The strengths of this technique lie in the combined estimation of both shape and appearance parameters. This is in contrast with the previous approaches where shape and appearance parameters were estimated separately.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1999
Accession Number
ADA366983

Entities

People

  • Saratendu Sethi
  • Stan Sclaroff

Organizations

  • Boston University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Computations
  • Computer Science
  • Computer Vision
  • Computers
  • Data Sets
  • Databases
  • Image Processing
  • Image Registration
  • Intensity
  • Modal Analysis
  • Models
  • Pattern Recognition
  • Recognition
  • Test Sets
  • Three Dimensional
  • Two Dimensional

Readers

  • Computational Modeling and Simulation
  • Computer Vision.