Information processing apparatus, information processing method, and storage medium storing program
AssigneeCanon Kabushiki Kaisha
InventorMINORU OHKOBA
Life of this patent
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Abstract
An information processing apparatus includes at least one processor and at least one memory that is in communication with the at least one processor. The at least one memory stores instructions for causing the at least one processor and the at least one memory to acquire a feature amount indicating a degree of deviation of a captured image of an object from a reference, perform a first quantification process based on a predetermined rule process, perform a second quantification process based on a machine learning model trained using an image having a large degree of deviation from the reference, and adopt either of the first and second quantification processes based on the feature amount.
Claims18
An information processing apparatus comprising:
- at least one processor;
- and
- at least one memory that is in communication with the at least one processor, wherein the at least one memory stores instructions for causing the at least one processor and the at least one memory to:
- acquire a feature amount indicating a degree of deviation of a captured image of an object from a reference;
- perform a first quantification process based on a predetermined rule process;
- perform a second quantification process based on a machine learning model trained using an image having a large degree of deviation from the reference;
- and
- adopt either of the first and second quantification processes based on the feature amount.
An information processing method comprising:
- acquiring a feature amount indicating a degree of deviation of a captured image of an object from a reference;
- performing a first quantification process based on a predetermined rule process;
- performing a second quantification process based on a machine learning model trained using an image having a large degree of deviation from the reference;
- and
- adopting either of the first and second quantification processes based on the feature amount.
A storage medium storing computer-executable instructions that, when executed by a computer, cause the computer to:
- acquire a feature amount indicating a degree of deviation of a captured image of an object from a reference;
- perform a first quantification process based on a predetermined rule process;
- perform a second quantification process based on a machine learning model trained using an image having a large degree of deviation from the reference;
- and
- adopt either of the first and second quantification processes based on the feature amount.
Dependencies are inferred from the claim text.