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首页> 外文会议>International conference on graphic and image processing >Feature Extraction Inspired by V1 in Visual Cortex
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Feature Extraction Inspired by V1 in Visual Cortex

机译：Visual Cortex中的V1启发的特征提取

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Target feature extraction plays an important role in pattern recognition. It is the most complicated activity in the brain mechanism of biological vision. Inspired by high properties of primary visual cortex (V1) in extracting dynamic and static features, a visual perception model was raised. Firstly, 28 spatial-temporal filters with different orientations, half-squaring operation and divisive normalization were adopted to obtain the responses of V1simple cells; then, an adjustable parameter was added to the output weight so that the response of complex cells was got. Experimental results indicate that the proposed V1 model can perceive motion information well. Besides, it has a good edge detection capability. The model inspired by V1 has good performance in feature extraction and effectively combines brain-inspired intelligence with computer vision.
机译：目标特征提取在模式识别中起重要作用。它是生物视觉大脑机制中最复杂的活动。受到主要视觉皮层（V1）提取动态和静态特征的高性能的启发，提出了视觉感知模型。首先，采用28个不同方向的时空滤波器，半平方运算和除法归一化来获得V1简单细胞的响应。然后，将一个可调整的参数添加到输出权重，以便获得复杂单元格的响应。实验结果表明，提出的V1模型能够很好地感知运动信息。此外，它具有良好的边缘检测能力。受V1启发的模型在特征提取方面具有良好的性能，并将大脑启发的智能与计算机视觉有效地结合在一起。

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