Pii: S0262-8856(00)00035-4

Pii: S0262-8856(00)00060-3

Knowledge of the position and orientation of 3D planes that exist in a scene is very important for many machine vision-based tasks, such as navigation, self-localization and docking. In this paper we propose two iterative methods for robustly computing the plane parameters out of given image sequences. Both methods include the (limited) ability to determine unknown parameters of the 3D-camera m...

Navigation in birds and other animals

This paper describes how different animals cope with the challenges of orienting in very diverse environments. First, a broad general overview is given. Then, as a case story, bird migration is treated in more detail. The aim of the paper is to encourage designers of mobile robots to consider the natural solutions already used by animals when developing navigation systems for their robots. q 20...

Pii: S0262-8856(00)00052-4

We consider the problem of aligning histological sections for 3D reconstruction and analysis. The method we propose is based on a blockmatching strategy that allows us to compute local displacements between the sections. We then collect these local measures to estimate a rigid transformation. Our emphasis is on the necessity to use a robust approach for this estimation step. The process is inte...

A probabilistic model for appearance-based robot localization

Guaranteeing the probability of success using repeated runs of genetic algorithm

norm RGA P P = Q 2. Eqn (14) in pg. 558 should read 140019 728) 150)(100)(5 (4 1116141818) 95. 0 (= + = Q 3. Eqn (16) in the same page should read 9958 46655) 19429 (25) 5. 0 (4 1116141818) 95. 0 (= + = Q 4. In eqn (6), the correct names in statistics for and est P α are the lower confidence bound and the confidence level (see E.L. Lehmann, Testing statistical hypotheses, 2 nd Ed. Wiley (1986) ...