3D Object-Camera and 3D Face-Camera Pose Estimation for Quadcopter Control: Application to Remote Labs

We also show that in presence of 2D noise, all methods tend to perform only slightly better when using more than 25 lines, while increasing the computational complexity. 2: Rotation

Unité de recherche INRIA Rennes, Irisa, Campus universitaire de Beaulieu, 35042 RENNES Cedex Unité de recherche INRIA Rhône-Alpes, 655, avenue de l’Europe, 38330 MONTBONNOT ST

The examined assembly proce- dure employs a volumetric method for the initial estimation of object’s properties and an octree decomposition process to generate the path plans for

First, based on 2D image data of markers on the orthogonal triad and their known spatial relationship, camera projection matrices were calculated which are supposed to be

These theoretical considerations allow us to propose a method for estimating 6- DoF camera pose from correspondences between 2D ellipses and 3D ellipsoids, in the form of

In the second experiment, we have evaluated the capacity of our robust algorithm to reject outliers in observed data. In our case, an outlier corresponds to a wrong feature matching

The main goal is to design a road following strategy based on computer vision and switching control, with the purpose of stabilizing the vehicle’s altitude, heading angle and

The objective of this paper is to design a road following strategy based on computer vision and switching controllers, with the purpose of stabilizing the vehicle altitude,