18451152. IMAGE PROCESSING APPARATUS, TRAINING APPARATUS, METHOD, AND NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM simplified abstract (CANON KABUSHIKI KAISHA)

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IMAGE PROCESSING APPARATUS, TRAINING APPARATUS, METHOD, AND NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM

Organization Name

CANON KABUSHIKI KAISHA

Inventor(s)

Kosuke Saito of Tokyo (JP)

Shunta Tate of Tokyo (JP)

IMAGE PROCESSING APPARATUS, TRAINING APPARATUS, METHOD, AND NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18451152 titled 'IMAGE PROCESSING APPARATUS, TRAINING APPARATUS, METHOD, AND NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM

Simplified Explanation

The abstract describes an image processing apparatus that extracts features from different types of data to determine if two objects are identical.

  • The extraction unit extracts features from data of different modal types.
  • The determination unit decides if two objects are the same based on the extracted features.
  • The extraction unit is trained to make the features similar for identical objects.

Potential Applications

This technology could be applied in:

  • Biometric identification systems
  • Object recognition in security systems

Problems Solved

This technology helps in:

  • Improving accuracy in object matching
  • Enhancing security measures

Benefits

The benefits of this technology include:

  • Increased efficiency in object identification
  • Enhanced security protocols

Potential Commercial Applications

A potential commercial application for this technology could be in:

  • Surveillance systems for high-security facilities

Possible Prior Art

One possible prior art for this technology could be:

  • Image recognition software used in facial recognition systems

Unanswered Questions

How does this technology handle variations in object appearance due to different angles or lighting conditions?

The technology may incorporate algorithms to account for variations in object appearance caused by different angles or lighting conditions.

Can this technology be integrated with existing security systems seamlessly?

Integration with existing security systems may require compatibility testing and customization to ensure seamless operation.


Original Abstract Submitted

There is provided with an image processing apparatus. An extraction unit extracts a first feature from first data of a first modal type, the first data including information of a first object that is registered, and extract a second feature from second data of a second modal type that is different from the first modal type, the second data including information of a second object for matching. A determination unit determines whether or not the first object and the second object are identical, based on the first feature and the second feature. The extraction unit is trained to extract the first feature and the second feature to be similar when the first object and the second object are identical.

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