PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Is structure needed for omnidirectional visual homing?
Toon Goedeme, D. Vanhooydonck, E. Demeester, M. Nuttin, Tinne Tuytelaars, Luc Van Gool and Luc Van Gool
In: CIRA 2005, 27-30 Jun, Espoo, Finland.

Abstract

Upcoming fast vision techniques for finding image correspondences enable reliable real-time visual homing, i.e. the guidance of a mobile robot from a arbitrary start pose towards a goal pose defined by an image taken there. Two approaches emerge in the field that differ in the fact that the structure of the scene is estimated or not. In this paper, we compare these two approaches for the general case and especially for our application, being automatic wheelchair navigation.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
ID Code:1619
Deposited By:Tinne Tuytelaars
Deposited On:28 November 2005