Matching Linear Features of Images and Maps,
Abstract
We present two methods to solve the problem of matching linear features extracted from an aerial image with a set of linear features derived from a map or another view of the same scene. The first method, using discrete relaxation, is very efficient but requires the model to have a small number of elements. The other one, called the kernel method, demonstrates how drastically we can improve the running time if we know a few pairs of matched elements. Illustrative examples are provided, and extensions are discussed. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1982
- Accession Number
- ADP000116
Entities
People
- Gerard G. Medioni
Organizations
- University of Southern California