Sciweavers

Share
IBPRIA
2007
Springer

Stochastic Local Search for Omnidirectional Catadioptric Stereovision Design

10 years 5 months ago
Stochastic Local Search for Omnidirectional Catadioptric Stereovision Design
Abstract. This paper deals with a compact catadioptric omnidirectional stereovision system based on a single camera and multi-mirrors (at least two mirrors). Many configurations were empirically designed in previous works with the aim to obtain a good 3D reconstruction accuracy. In this paper, we propose to use optimization techniques for omnidirectional catadioptric stereovision design, by using a stochastic local search method in order to find a good sensor (number, relative positions and sizes of mirrors). We explain principles of our approach and provide automatically designed sensors with a number of mirrors from two to nine. We finally simulate the 3D-reconstruction of a real environment modeled under a ray-tracing software with some of these sensors.
Gilles Dequen, Laure Devendeville, E. Mouaddib
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where IBPRIA
Authors Gilles Dequen, Laure Devendeville, E. Mouaddib
Comments (0)
books