Fingerprint Theorems for Zero-Crossings.

Abstract

It is proven that the scale map of the zero-crossings of almost all signals filtered by the second derivative of a gaussian of variable size determines the signal uniquely, up to a constant scaling and a harmonic function. The authors' proof provides a method for reconstructing almost all signals from knowledge of how the zero-crossing contours of the signal, filtered by a gaussian filter, change with the size of the filter. The proof assumes that the filtered signal can be represented as a polynomial of finite, albeit possibly very high, order. An argument suggests that this restriction is not essential. Stability of the reconstruction scheme is briefly discussed. The result applies to zero- and level-crossings of linear differential operators of gaussian filters. The theorem is extended to two dimensions, that is to images. These results are reminiscent of Logan's theorem. These imply that extreme of derivatives at different scales are a complete representation of a signal. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1983
Accession Number
ADA139181

Entities

People

  • A. L. Yuille
  • T. Poggio

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Change Detection
  • Complex Variables
  • Computational Science
  • Computer Vision
  • Data Displays
  • Eigenvectors
  • Equations
  • Filters
  • Filtration
  • Fingerprints
  • Information Processing
  • Physical Properties
  • Polynomials
  • Theorems
  • Two Dimensional
  • Vector Spaces

Readers

  • Computer Vision.
  • Mathematical Modeling and Probability Theory.
  • Statistical inference.