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ROBUST ANALYSIS FOR DEFORMABLE OBJECT CLASSIFICATION AND RECOGNITION BY IMAGE SENSORS
ROBUST ANALYSIS FOR DEFORMABLE OBJECT CLASSIFICATION AND RECOGNITION BY IMAGE SENSORS
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机译：基于图像传感器的可变形物体分类与识别的鲁棒分析
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摘要
A method and a system of identifying deformable objects in digital images using processing circuitry are disclosed. The method includes partitioning, using the processing circuitry, a composite image into M composite blocks. An input image is partitioned into M input blocks. Each input block is paired with a corresponding composite block. Image properties of each composite block and each input block are analyzed. The image properties of each input block are compared with its corresponding composite block. A structural similarity value for each pair of input and composite blocks is generated in response to comparing the image properties. An aggregate structural similarity value is determined based on the structural similarity values. A deformable object category of the input image is identified based on the aggregate structural similarity value.
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