Multi-Level Reconstruction of Visual Surfaces: Variational Principles and Finite Element Representations,

Abstract

Computational modules early in the human vision system typically generate sparse information about the shapes of visible surfaces in the scene. Moreover, visual processes such as stereopsis can provide such information at a number of levels spanning a range of resolutions. In this paper, this multi-level structure is extended to encompass the subsequent task of reconstructing full surface descriptions from the sparse information.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1982
Accession Number
ADA115033

Entities

People

  • Demetri Terzopoulos

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Boundary Value Problems
  • Calculus Of Variations
  • Computational Fluid Dynamics
  • Computational Science
  • Computations
  • Computer Vision
  • Differential Equations
  • Equations
  • Finite Element Analysis
  • Information Processing
  • Mathematical Programming
  • Mathematics
  • Three Dimensional
  • Two Dimensional
  • Variational Principles

Readers

  • Computational Modeling and Simulation
  • Linear Algebra
  • Vision Science/Vision Psychology/Cognitive Neuroscience.