---
title: "Parametric Correspondence and Chamfer Matching: Two New Techniques for Image Matching"
authors:
  - "Harry G. Barrow"
  - "Jay M. Tenenbaum"
  - "Robert C. Bolles"
  - "Helen C. Wolf"
doi: ""
url: "https://ijcai.org/proceedings/1977/158"
pdf: "https://ijcai.org/proceedings/1977/0158.pdf"
venue: "Proceedings of the Fifth International Joint Conference on Artificial Intelligence"
year: 1977
pages: "659-662"
track: "Vision"
keywords:
---

# Parametric Correspondence and Chamfer Matching: Two New Techniques for Image Matching

Harry G. Barrow, Jay M. Tenenbaum, Robert C. Bolles, Helen C. Wolf

*Proceedings of the Fifth International Joint Conference on Artificial Intelligence*, pages 659-662.

## Abstract

Parametric correspondence is a technique for matching images to a three dimensional symboli c reference map . An analytic camera model is used to predict the location and appearance of landmarks in the image , generating a projection for an assumed viewpoint. Correspondence is achieved by adjusting the parameters of the camera model until the appearances of the landmarks optimally match a symbolic description extracted from the image The matching of image and map features is performed rapidly by a new technique, called "chamfer matching" , that compares the shapes of two collections of shape fragments , at a cost proportional to linear dimension, rather than area These two techniques permit the matching of spatially extensive features on the basis of shape . which reduces the risk of ambiguous matches and the dependence on viewing conditions inherent in conventional image - based correlation matching.