After long-term efforts, people have created the era of computer 3D vision technology. In the field of new media, the application of graphics technology in animation industry is very extensive[1]. Through the analysis...
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The aim of this paper is to present a comparative analysis of the execution times of low-level vision algorithms on two different SIMD parallel machines. The set of algorithms is part of the DARPA image Understanding ...
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ISBN:
(纸本)0780335295
The aim of this paper is to present a comparative analysis of the execution times of low-level vision algorithms on two different SIMD parallel machines. The set of algorithms is part of the DARPA image Understanding benchmark, a widely-accepted platform for performance comparison of parallel systems in the field of computervision. The considered computer architectures represent two opposite solutions in terms of granularity in approaching the SIMD paradigm, one with a coarse-grain array of floating-point processors and the other with a fine-grain array of single-bit processing elements. For these reasons, the set of algorithms was implemented on both systems taking into account machine specificities. In this work some insights into implementation issues and a comparative analysis of the assessed execution times are presented.
Perceptual image of a product plays a significant role in decision making when users choose a product whose basic function is homogeneous nowadays. Designers try to design products that meet the all kinds of demands o...
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In previous works [1, 2] we developed a visual servoing platform using C language to extract the required information from the images, the necessary time to process the images don't allow us to achieve a real time...
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ISBN:
(纸本)9789806560420
In previous works [1, 2] we developed a visual servoing platform using C language to extract the required information from the images, the necessary time to process the images don't allow us to achieve a real time operation. In order to get real time imageprocessing we proposed to use Discrete time Cellular Neural Networks [10, 11]. In this paper we report on CNN emulation on Alters, FPGA using VHDL language.
With the rapid expansion of data, incremental update mining for associated rule learning in large scale volume of data processing is concerned. The support count or support ratio are often used as a threshold for the ...
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Superpixel, becomes popular for use in computervision applications, is an image patch that adheres well to image boundaries. It has better alignment with intensity edges than rectangular patch and also capable of car...
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Camera calibration andimageprocessing, two important issues of mobile robot navigation, are studied in the present work. image of an object is captured by using a CCD camera and stored in the computer memory with th...
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Glass bottle detection is a key job of glass enterprises, and crack detection is one of its important aspects. In this study, evolutionary neural network is combined with computervision and used in online detection o...
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In this present era of technology, segmentation of image is a fundamental and significant component of computervision andimageprocessing applications. These applications include medical image analysis, compression ...
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The proposed system for automobile security is a face detection and recognition application that control the automobile to be operated or restricted. This system is established for all types of door locks and particul...
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