The Image Irradiance Equation: Its Solution and Application.

Abstract

How much information about the shape of an object can be inferred from its image? In particular, can the shape of an object be reconstructed by measuring the light it reflects from points on its surface? These questions were raised by Horn (H070) who formulated a set of conditions such that the image formation can be described in terms of a first order partial differential equation, the image irradiance equation. In general, an image irradiance equation has infinitely many solutions. Thus constraints necessary to find a unique solution need to be identified. First we study the continuous image irradiance equation. It is demonstrated when and how the knowledge of the position of edges on a surface can be used to reconstruct the surface. Furthermore we show how much about the shape of a surface can be deduced from so called singular points. At these points the surface orientation is uniquely determined by the measured brightness. Then we investigate images in which certain types of silhouettes, which we call b-silhouettes, can be detected. In particular we answer the following question in the affirmative: Is there a set of constraints which assure that if an image irradiance equation has a solution, it is unique? To this end we postulate three constraints upon the image irradiance equation and prove that they are sufficient to uniquely reconstruct the surface from its image.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1981
Accession Number
ADA104043

Entities

People

  • Anna R. Bruss

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cauchy Problem
  • Computer Vision
  • Coordinate Systems
  • Crystal Structure
  • Curvature
  • Differential Equations
  • Differential Geometry
  • Electron Microscopes
  • Equations
  • Geometry
  • Light Sources
  • Massachusetts
  • Materials
  • Partial Differential Equations
  • Theses
  • Translations

Readers

  • Calculus or Mathematical Analysis
  • Computer Vision.
  • Spectroscopy.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms