a b s t r a c t introduction: in an oddball experiment, the context in which novel stimuli are presented affects characteristics of novelty p3, i.e. as long as there is a difficult task in which the difference between standard and target stimuli is small, recurrent presentation of a highly discrepant stimulus can lead to p300 highly similar to novelty p3. effect of stimulus properties on p300 h...

In this paper, we present a case study for using formal object-oriented speciication languages, such as Object-Z, to specify the semantics of object-oriented programming languages. The key idea in this case study is to model language constructs, such as expressions, statements, methods and classes, as objects and to specify the semantics of each language construct using an Object-Z class. This ...

A method for object recognition and pose estimation for robotic bin picking is presented. The approach discussed is a variant on current approaches to eigenimage analysis. Compared to traditional approaches which use object geometry only (shape invariants), the implementation described uses the eigenspace determined by processing the eigenvalues and eigenvectors of the image set. The image set ...

In this paper, we propose an object detection/recognition algorithm based on a new set of shape-driven features and morphological operators. Each object class is modeled by the corner points (junctions) on its contour. We design two types of shape-context like features between the corner points, which are efficient to compute and effective in capturing the underlying shape deformation. In the t...

In this paper we describe a new recognition method that uses a subspace representation to approximate the comparison of binary images (e.g. intensity edges) using the Hausdorr fraction. The technique is robust to outliers and occlusion, and thus can be used for recognizing objects that are partly hidden from view and occur in cluttered backgrounds. We report some simple recognition experiments ...

We propose a new framework for object detection based on a generalization of the keypoint correspondence framework. This framework is based on replacing keypoints by keygraphs, i.e. isomorph directed graphs whose vertices are keypoints, in order to explore relative and structural information. Unlike similar works in the literature, we deal directly with graphs in the entire pipeline: we search ...

We introduce a novel method to characterize the shape of objects under viewpoint variation for use in an object recognition task. Images of a collection of 3D objects captured under different viewpoint locations are used to obtain representative views (eigenviews) that encode the information in these images. Three techniques are used to extract eigenviews from a given collection of images, Prin...

there have been many researches on object grasping in cooperating systems assuming no object slippage and stable grasp and the control system is designed to keep the contact force inside the friction cone to prevent the slippage. however undesired slippage can occur due to environmental conditions and many other reasons. in this research, dynamic analysis and control synthesis of a cooperating ...