Tracking of industrial objects by using CAD models

In this paper we present a model-based approach for real-time camera pose estimation in industrial scenarios. The line model which is used for tracking is generated by rendering a polygonal model and extracting contours out of the rendered scene. By un-projecting a point on the contour with the depth value stored in the z-buffer, the 3D coordinates of the contour can be calculated. For establishing 2D/3D correspondences the 3D control points on the contour are projected into the image and a perpendicular search for gradient maxima for every point on the contour is performed. Multiple hypotheses of 2D image points corresponding to a 3D control point make the pose estimation robust against ambiguous edges in the image.

A cognitive analysis of English cognate objects

In this paper, from the perspective of Cognitive Grammar, we consider the question of what kind of verbs can take cognate objects (COs) and what kind of verbs cannot. We investigate the syntactic properties of COs, such as the ability to take modifiers, the passivizability of cognate object constructions (COCs), and the it-pronominalization of COs. It is our contention that a detailed classification of verbs that occur in COCs is required in order to capture the relation between the syntactic properties and the modification of COs. While classifying verbs, we focus on three conceptual factors: the force of energy of the subject, a change of state of the subject, and the objectivity of the cognate noun. The study reveals that these three parameters enable us to capture the difference in the interpretation of COs in relation to modification and syntactic tests.