Statistical Shape Models in Image Analysis,

Abstract

We discuss several models for shapes in the plane based on the distributions of landmarks about an underlying template. The motivation for these models includes Markov random fields and thin plate splines. These models are used as priors in a Bayesian framework to reconstruct a shape from a digital image. An example is given based on the human hand

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1992
Accession Number
ADP007212

Entities

People

  • A. N. Walder N
  • J. T. Kent
  • K. V. Mardia

Organizations

  • University of Leeds

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Bayesian Networks
  • Computer Science
  • Computing-Related Activities
  • Data Science
  • Digital Images
  • Engineering
  • Images
  • Information Science
  • Interdisciplinary Science
  • Mathematics
  • Models
  • Motivation
  • Statistical Analysis
  • Statistical Shape Models
  • Statistics
  • Template Patterns

Fields of Study

  • Mathematics

Readers

  • Computer Vision.
  • Statistical inference.
  • Structural Dynamics.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference