Product disassembly for reusing or recycling can be done in a destructive or not-destructive way. Furthermore, to achieve an automatic disassembly, a robot arm has to be considered for doing the desired task. This pap...
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Product disassembly for reusing or recycling can be done in a destructive or not-destructive way. Furthermore, to achieve an automatic disassembly, a robot arm has to be considered for doing the desired task. This paper presents the structure of a flexible automatic-demanufacturing system which includes a robot arm for the disassembly tasks. This paper makes special emphasis on how the fusion of the information from the sequence planner with the information from the movement generator can be used to take a robot arm into consideration, which accomplishes the disassembly tasks. Finally, the automatic disassembly concepts are used for the disassembly of a laptop PC.
The ability to detect shadows Is a critical feature of any Intelligent transportation system (ITS). The Improper handling of shadows can be the cause of erroneous conclusions in traffic analysis. Because vision-based ...
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Advances in intelligent transportation are rapidly sensing and connecting both highways and vehicles. This recent availability of high-speed communication and large quantities of information are rapidly changing the w...
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In recent years, large number of cameras have been installed in freeway and road environments. While the use of some of these cameras is being automated through computervision, few computervision systems allow for t...
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The Distributed Interactive Video Array (DIVA) system is developed to provide a large-scale, redundant cluster of video streams to observe a remote scene and to supply automatic focus of-attentian with event-driven se...
作者:
Abd-Almageed, WaelSmith, ChristopherRobotics
Artificial Intelligence and Vision Laboratory Electrical and Computer Engineering Department University of New Mexico United States
In this paper, a new technique for object classification from silhouettes is presented. Hidden Markov Models are used as a classification mechanism. Through a set of experiments, we show the validity of our approach a...
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ISBN:
(纸本)1889335185
In this paper, a new technique for object classification from silhouettes is presented. Hidden Markov Models are used as a classification mechanism. Through a set of experiments, we show the validity of our approach and show its invariance under severe rotation conditions. Also, a comparison with other techniques that use Hidden Markov Models for object classification from silhouettes is presented.
作者:
Abd-Almageed, WaelSmith, Christopher E.Robotics
Artificial Intelligence and Vision Laboratory Electrical and Computer Engineering Department University of New Mexico Albuquerque NM 87131
This paper introduces a new approach to statistical pressure snakes. It uses statistical modeling for both object and background to obtain a more robust pressure model. The Expectation Maximization (EM) algorithm is u...
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This paper introduces a new approach to statistical pressure snakes. It uses statistical modeling for both object and background to obtain a more robust pressure model. The Expectation Maximization (EM) algorithm is u...
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This paper proposes a pixel-based texture classifier that integrates multiple texture feature extraction methods in order to identify the regions of an input image that belong to a given set of texture patterns. Exper...
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This paper proposes a pixel-based texture classifier that integrates multiple texture feature extraction methods in order to identify the regions of an input image that belong to a given set of texture patterns. Exper...
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