Interest point detection is an established method to select relevent image regions. Such techniques use features like corners or edges, which are known to indicate regions likely to hold patterns of interest. Selectio...
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Interest point detection is an established method to select relevent image regions. Such techniques use features like corners or edges, which are known to indicate regions likely to hold patterns of interest. Selectio...
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Interest point detection is an established method to select relevent image regions. Such techniques use features like corners or edges, which are known to indicate regions likely to hold patterns of interest. Selection of such regions increases processing efficiency. For the recognition of motion, however, such context-free methods are still very rare. Though there are numerous methods to find space-time volumes of motion in image sequences, most aim at finding just motion as a such, not volumes which are more promising for analysis than others. Therefore Laptev and Lindeberg (2005) generalized the Harris detector to the spatio-temporal domain. But the problem remains to evaluate what kind of motion is captured by a detector. For example, the detector of Laptev and Lindeberg should capture ¿corners¿ - like the original 2D-version of Harris and Stephens (1988) - but what does that mean for motion? Therefore we present an approach to visualize events which were selected by a spatio-temporal interest point detector. Since the analysis of single examples is not fruitful, we use clustering to analyze large quantities of space-time volumes selected by a detector. The resulting cluster centers are prototypical events, representing the types of events the detector responds to. Thus a qualitative yet statistically exhaustive analysis of detector properties is possible.
Robot assisted interventions often require coupling and decoupling of the robot to/from a specific tool. By using manual gripper changing systems these operations are facilitated, but the robot has to approach to and ...
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Robot assisted interventions often require coupling and decoupling of the robot to/from a specific tool. By using manual gripper changing systems these operations are facilitated, but the robot has to approach to and move away from the coupling position. Industrial applications are mostly based on movements which are teached-in, since the working environment is perfectly described (i.e. working cell). Especially in robot assisted surgery we are facing non fixed tools to which the robot has to be coupled (e.g. a holding device attached to a mobilised bone) and restricted working areas with special safety requirements. In this paper we present an automatic end-effector registration method and a semiautomatic coupling procedure exemplarily for robot assisted orthognathic surgery. By using means of an optical localisation system and force-/torque sensing, the coupling procedure is controlled by a multi-sensor data fusion approach. The developed methods can be adapted to any robot assisted intervention.
This article represents our concept of an artificial hormone system for realizing a completely decentralized self-organizing task allocation using self-X properties. We present new evaluation results from our latest r...
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ISBN:
(纸本)9780769531328
This article represents our concept of an artificial hormone system for realizing a completely decentralized self-organizing task allocation using self-X properties. We present new evaluation results from our latest research: we introduce a tool to easily create test files and even whole test series, and show several test series that illustrate interesting behaviors of hormone interaction with different levels of hormones.
We present a comparative study of two spatially resolved macroscopic models of an autonomous robotic swarm. In previous experiments, the collective behavior of 15 autonomous swarm robots, driven by a simple bio-inspir...
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ISBN:
(纸本)9781424420575
We present a comparative study of two spatially resolved macroscopic models of an autonomous robotic swarm. In previous experiments, the collective behavior of 15 autonomous swarm robots, driven by a simple bio-inspired control algorithm, was investigated: In two different environmental conditions, the ability of the robots to aggregate below a light source was tested. Distinct approaches to predict the dynamics of the spatial distribution were made by two different modeling approaches: One model was constructed in a compartmental manner (ODEs). In parallel, a space-continuous model (PDEs) was constructed. Both models show a high degree of similarity concerning the modeling of concrete environmental factors (light), but due to their different basic approaches, show also significant differences in their implementation. However, the predictions of both models compare well to the observed behavior of the robotic swarm, thus both models can be used to develop further extensions of the algorithm as well as different experimental setups without the need to run extensive real robotic preliminary experiments.
To summarize current excellent research in the field of sensor, signal and imaging informatics. Synopsis of the articles selected for the IMIA Yearbook 2007. The selection process for this yearbook section "Senso...
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To summarize current excellent research in the field of sensor, signal and imaging informatics. Synopsis of the articles selected for the IMIA Yearbook 2007. The selection process for this yearbook section "Sensor, signal and imaging informatics" results in five excellent articles, representing research in four different nations. Papers from the fields of brain machine interfaces, sound surveillance in telemonitoring, soft tissue modeling, and body sensors have been selected. The selection for this yearbook section can only reflect a small portion of the worldwide copious work in the field of sensors, signal and image processing with applications in medical informatics. However, the selected papers demonstrate, how advances in this field may positively affect future patient care.
Springer Science+Business Media has published a special issue on the topic regarding object and component-oriented software design and development. Six important and relevant contributions in this issue have been writ...
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Springer Science+Business Media has published a special issue on the topic regarding object and component-oriented software design and development. Six important and relevant contributions in this issue have been written by established experts. Three of the articles focuses on garbage collection for automatic memory management, where two of the articles combine and relate garbage collection to utility accrual scheduling, a new approach for handling overloaded real-time systems as well as systems with soft real-time constraints. The third paper investigates schedulable garbage collection in virtual software execution systems. One contribution in this special issue focuses on such a middleware model and describes efficient techniques to adapt this model to standard Linux systems. Another article in the issue investigates the benefits of an integrated architecture as an electronic infrastructure for future car generations.
This article describes the architecture of an organic, real-time capable, service-based middleware. We show how middleware services can be treated as intelligent agents, and how we can use a multi-agent coordination m...
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This article describes the architecture of an organic, real-time capable, service-based middleware. We show how middleware services can be treated as intelligent agents, and how we can use a multi-agent coordination mechanism for implementing the organic management, in particular self-configuration and self-optimization, in a decentralized and efficient way
In this paper, we present a new method for sensor fusion in robot assembly. In our approach, model information can be derived automatically from CAD-data. We introduce force torque maps, which are either computed auto...
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In this paper, we present a new method for sensor fusion in robot assembly. In our approach, model information can be derived automatically from CAD-data. We introduce force torque maps, which are either computed automatically exploiting modern graphical processors or are measured by scanning forces and torques during contact motions. Subsequently, force torque maps are applied as model information during execution of real assembly tasks. Also, computer vision is included by comparing relative poses of features in virtual images with their real relative poses given from measured images. For fusion of these two (or more) different sensors we suggest to use particle filters. Experiments with variations of peg in hole tasks in a real work cell demonstrate our new approach to be very useful for the whole process chain from planning to execution.
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