Image processing using an artificial neural network
AssigneeCanon Kabushiki Kaisha
InventorHiroyuki Uchiyama
Life of this patent
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Abstract
The present disclosure provides a system of analysing an object in an image. The system comprises a processor and a memory in communication with the processor. The memory has application programs that are executable by the processor, wherein the processor executes the application programs to perform a method of analysing the object in the image. The method comprises the steps of determining an image tensor of the image; determining context information of the image; determining a context tensor of the determined context information; combining the image tensor and the context tensor to form a combined tensor; and estimating an attribute of the object based on the combined tensor.
Claims18
A method of analysing an object in an image, the method comprising the steps of:
- determining an image tensor of the image;
- determining context information of the image;
- determining a context tensor of the determined context information;
- combining the image tensor and the context tensor to form a combined tensor;
- estimating an attribute of the object based on the combined tensor;
- and
- applying a filter sub-network to filter the combined tensor to form a filtered tensor.
A system of analysing an object in an image, the system comprising;
- a processor;
- a memory in communication with the processor, the memory having application programs that are executable by the processor, wherein the processor executes the application programs to perform a method of analysing the object in the image, the method comprising the steps of:
- determining an image tensor of the image;
- determining context information of the image;
- determining a context tensor of the determined context information;
- combining the image tensor and the context tensor to form a combined tensor;
- estimating an attribute of the object based on the combined tensor;
- and
- applying a filter sub-network to filter the combined tensor to form a filtered tensor.
Dependencies are inferred from the claim text.