Accession Number : ADA115033

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

Corporate Author : MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB

Personal Author(s) : Terzopoulos,Demetri

PDF Url : ADA115033

Report Date : Apr 1982

Pagination or Media Count : 93

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.

Descriptors :   *Vision, *Image processing, *Artificial intelligence, *Finite element analysis, *Variational principles, Geometric forms, Visual perception, Humans, Stereoscopes, Hierarchies, Interpolation, Shape, Structures, Three dimensional

Subject Categories : Anatomy and Physiology
      Numerical Mathematics
      Bionics

Distribution Statement : APPROVED FOR PUBLIC RELEASE