Title

A parallel algorithm for target recognition using a multi-class hash database

Keywords

Basis pair; Geometric hashing; Hash table; Hash table image; Transformation invariant

Abstract

A method for recognition of unknown targets using large databases of model targets is discussed. Our approach is based on parallel processing of multi-class hash databases that are generated off-line. A geometric hashing technique is used on feature points of model targets to create each class database. Bit level coding is then performed to represent the models in an image format. Parallelism is achieved during the recognition phase. Feature points of an unknown target are passed to parallel processors each accessing an individual class database. Each processor reads a particular class of hash data base and indexes feature points of the unknown target. A simple voting technique is applied to determine the best match model with the unknown. The paper discusses our technique and the results from testing with unknown FLIR targets.

Publication Date

12-1-1998

Publication Title

Proceedings of SPIE - The International Society for Optical Engineering

Volume

3374

Number of Pages

158-166

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1117/12.327093

Socpus ID

0032337676 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0032337676

This document is currently not available here.

Share

COinS