A Space-Sweep Approach to True Multi-Image Matching

Abstract

The problem of determining feature correspondences across multiple views is considered. The term true multi-image matching is introduced to describe techniques that make full and efficient use of the geometric relationships between multiple images and the scene. A true multi-image technique must generalize to any number of images, be of linear algorithmic complexity in the number of images, and use all the images in an equal manner. A new space sweep approach to true multi-image matching is presented that simultaneously determines 3D feature correspondences and the 3D positions of feature points in the scene. The method is illustrated on a seven image matching example from the aerial image domain.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1995
Accession Number
ADA332933

Entities

People

  • Robert T. Collins

Organizations

  • University of Massachusetts Amherst

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Accumulators
  • Aerial Photography
  • Algebraic Functions
  • Algorithms
  • Cameras
  • Cell Count
  • Chi Square Test
  • Computer Science
  • Discrete Distribution
  • Distribution Functions
  • Ground Level
  • Orientation (Direction)
  • Probability
  • Probability Distributions
  • Random Variables
  • Spatial Distribution
  • Template Patterns

Readers

  • Computer Vision.

Technology Areas

  • Space