BMVC IndexSelf-Calibrating Surface Reconstruction for the ModelMakerViewing Real-World ImageryOptimum Template Selection for Image Registration Using ICMM

A Feature Representation for Map Building and Path Planning
View the PDF File

N. A. Thacker, A. J. Harris

Dept of Medical Biophysics
University of Manchester
Manchester UK
Dept of Electronic Engineering
University of Sheffield
Sheffield UK

Contact: elp95ajh@sheffield.ac.uk

Abstract

We present an approach to solving the problem of autonomous map building and path planning for a mobile agent. Unlike conventional approaches, we feel that this meets the requirements of a general purpose system which includes, robustness, autonomy, flexibility and scalability. Underpinning this technique is new representation of shape using visual features, based on geometric co-occurance which we call the Corner-centred Geometric Histogram (CGH). Results are presented which demonstrate that these histograms can be used for both localisation and navigation purposes. This is due to their rich description of a scene and predictable response to changes in viewing position.

Keywords: Autonomous Mobile Robot, Map Building, Geometric Histogram, View-Based
Search the full conference index by: Title Author Keyword 
View the full paper as:  PDF 
BMVC IndexSelf-Calibrating Surface Reconstruction for the ModelMakerViewing Real-World ImageryOptimum Template Selection for Image Registration Using ICMM

This page created by John N. Carter on 09/10/98