We present a real-time model-based line tracking approach with adaptive learning of image
edge features that can handle partial occlusion and illumination changes. A CAD (VRML) …

Real-time recognition of the 6DOF pose of textureless objects is a fundamental and
challenging problem in robotics. We present a novel approach to perform real-time …

This paper aims at investigating the performance of a LIDAR-based system for pose
determination of uncooperative targets. This problem is relevant to both debris removal and …

We describe a particle filtering method for vision based tracking of a hand held calibrated
camera in real-time. The ability of the particle filter to deal with non-linearities and non …

We address the problem of model-based object recognition. Our aim is to localize and
recognize road vehicles from monocular images or videos in calibrated traffic scenes. A 3-D …

Featured Application MANTRA system has been validated in laboratory condition with an
electronic board maintenance task, but it has been developed to work for almost any …

We present a 3D model-based visual tracking approach using edge and keypoint features in
a particle filtering framework. Recently, particle-filtering-based approaches have been …

We propose a novel approach for real-time object pose detection and tracking that is highly
scalable in terms of the number of objects tracked and the number of cameras observing the …

A position/orientation measurement apparatus holds a three-dimensional shape model of a
object, acquires approximate value indicating a position and an orientation of the object …

Object tracking is an important issue for research and application related to visual servoing
and more generally for robot vision. In this paper, we address the problem of realizing visual …