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- W2595114202 abstract "This thesis treats real-time 3D tracking of rigid and non-rigid objects using an apriori CAD model of the environment and a monocular vision sensor. The tracking is based on the estimation of the pose between the camera and its environment and is essential for many applications such as Augmented Reality (AR) or Visual Servoing (VS). The pose is estimated via a non-linear relation between visual features extracted from the image and the projection of the 3D object onto the image. The estimation is considered as synonymous to a Virtual Visual Servoing control law.The local features, comprising elements of the contours of the object, are tracked by an efficient Moving Edges (ME) technique. An adaptation of this tracker is proposed to make it invariant to changes in scale of the contour and so that no predetermined threshold is needed. The features and the model are related to the pose by distance-to-contour type interaction matrices.In order to take into account erroneous data a robust closed loop control law is proposed. It is based on the robust statistical technique of M-estimation which allows to consider a general class of errors including : noise in feature extraction, small tracking errors and large correspondence errors.In a last part, the approach is extended to a class of non-rigid objects in 3D. More particularly, different types of mechanical joints are defined within the CAD model. The configuration of an articulated object is therefore obtained from a set of generalised parameters which represent both the pose of all the components of the object as well as the relative poses between the different components. In order to derive the minimal parameter representation a Kinematic Set approach is proposed. Kinematic subsets are derived in a symmetric manner using velocity constraints associated with the mechanical joints. The subsets are then combined to form the articulation matrix which defines the minimal representation.Experimental results are finally presented on several indoor and outdoor sequences. They show the efficiency of the proposed 3D tracking method even with severe outlier contamination including occlusion, changes in illumination and miss-tracking. In the case of articulated motion tracking, experiments have validated the approach for prismatic, rotational and helical type joints." @default.
- W2595114202 created "2017-03-23" @default.
- W2595114202 creator A5066992384 @default.
- W2595114202 date "2005-09-23" @default.
- W2595114202 modified "2023-09-22" @default.
- W2595114202 title "Towards a computer imagination: Robust real-time 3D tracking of rigid and articulated objects for augmented reality and robotics" @default.
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