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IMAGE PROCESSING-BASED OCCLUDED ITEMS DETECTION FOR SELF-CHECKOUT SYSTEMS
IMAGE PROCESSING-BASED OCCLUDED ITEMS DETECTION FOR SELF-CHECKOUT SYSTEMS
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机译：基于图像处理的封闭物品检测自核系统
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摘要
Item recognition of a given item is trained on a single item from different views. The item recognition is then trained on images of the given item partially occluded by a second item having same, similar, or different shapes and features to that of the given item. General features of the item are noted and used to detect the given item when the given item is presented with multiple different items having multiple different occluded views.
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