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Detection of objects in images under equivariance or invariance with respect to the object size
Detection of objects in images under equivariance or invariance with respect to the object size
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机译：在对象大小上检测标准规范或不变性下的图像中的对象
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摘要
Method (100) for detecting at least one object (2a-2c) in at least one input image (3) with the steps: • a template image (1) of the object (2a-2c) is processed by a first convolutional neural network, CNN (4a), processed (110) into at least one template feature map (5, 5a-5c); • the input image (3) is processed into at least one input feature map by a second convolutional neural network, CNN (4b). (6, 6a-6c) processed (120);• the at least one template feature map (5, 5a-5c) is compared (130) with the at least one input feature map (6, 6a-6c);• from the result (130a) of the comparison (130) it is evaluated (140) whether, and if so at which position (2a'-2c'), the object (2a-2c) is contained in the input image (3), the convolutional neural Networks (4a, 4b) each contain a plurality of convolution layers (7a, 7b) and wherein at least one of the convolution layers (7a, 7b) is at least partially formed from at least two filters (8a-8c) which can be converted into one another by a scaling operation.
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