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Investigation of scale-invariant image classification mechanisms

机译:尺度不变图像分类机制研究

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This study investigates the markers of operation of the classification mechanism that is invariant to scale transformations of images of test objects. Observers were asked to classify images according to the criterion of animate/inanimate object. Two series of studies were conducted using the method of cognitive evoked potentials. The angular sizes of the image of the objects presented to the observer were 3 degrees in one series and 0.4 degrees in another. It was established that the classification of the images of the stimuli of various angular sizes according to semantic features (animate/inanimate) causes a difference in the amplitudes of the P200 components (in the leads F7 and F8 of the frontal area). The role of the P200 components of the evoked potentials in the frontal areas of the brain as a marker of the classification process was investigated. It is observed that neural networks of the prefrontal cortex use the invariant description of images implemented in the previous stages of their processing to perform the classification of objects. (C) 2020 Optical Society of America
机译:本研究研究了对测试对象图像缩放变换不变的分类机制的操作标志。观察者被要求根据有生命/无生命物体的标准对图像进行分类。使用认知诱发电位的方法进行了两个系列的研究。呈现给观察者的物体图像的角度尺寸在一个系列中为 3 度,在另一个系列中为 0.4 度。已经确定,根据语义特征(有生命/无生命)对各种角度大小的刺激图像进行分类会导致P200分量的振幅差异(在额叶区域的引线F7和F8中)。研究了大脑额叶区域诱发电位的 P200 成分作为分类过程标志的作用。据观察,前额叶皮层的神经网络使用在其处理的前几个阶段实现的图像的不变描述来执行对象的分类。(C) 2020年美国光学学会

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