基于Gabor变换的可重构FPGA多尺度图像表示

2003 IEEE International Workshop on Computer Architectures for Machine Perception Pub Date : 2003-05-12 DOI:10.1109/CAMP.2003.1598171

J. Hernandez, B. Romero

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引用次数: 1

摘要

多尺度图像表示的Gabor方法在许多计算机视觉应用和模拟人类视觉系统中非常有用。然而，这种转换的特点是对大量数据进行重复和迭代操作，这意味着高计算成本。在这一点上，硬件/软件协同设计技术是有意义的。在这项工作中，我们使用可重构FPGA实现了Gabor变换，并遵循流水线方案，以加快该过程

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Multiscale image representation based on Gabor transform using reconfigurable FPGA

Gabor method of multiscale image representation is very useful in many computer vision applications and to simulate the human being visual system. However, this transform is characterised by repetitive and iterative operations on large amounts of data, which imply a high computational cost. In this point is when the hardware/software codesign technique makes sense. In this work we have implemented the Gabor transform using a reconfigurable FPGA following a pipeline scheme in order to speed up the process

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2003 IEEE International Workshop on Computer Architectures for Machine Perception

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