Computing Visible-Surface Representations,

Abstract

The computational framework offered in this paper addresses, in a unified way, certain visual information processing tasks involved in the representation of visible surfaces. Particular emphasis is placed on utilizing highly parallel, cooperative processing to integrate surface shape information over multiple visual sources, to fuse it across a multiplicity of spatial resolutions, and to maintain the global consistency of the resulting distributed shape representations. The issues are first investigated in terms of a surface reconstruction model rooted in mathematical physics. This formal analysis is augmented by an empirical study of the resulting algorithms, which feature multiresolution iterative processing within hierarchical surface shape representations. The approach is guided by current knowledge of how humans perceive visible surfaces, while applications in machine vision provide a testbed for the algorithms. Keywords: vision; finite elemeent analysis; discontinuities; variational principles; splines.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1985
Accession Number
ADA160602

Entities

People

  • D. Terzopoulos

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Computations
  • Computer Science
  • Computer Vision
  • Differential Equations
  • Finite Element Analysis
  • Geometry
  • Image Processing
  • Information Processing
  • Mathematical Analysis
  • Measurement
  • Pattern Recognition
  • Shape
  • Surface Properties
  • Three Dimensional
  • Variational Principles

Readers

  • Approximation Theory.
  • Calculus or Mathematical Analysis
  • Systems Analysis and Design