Canon kabushiki kaisha (20240112441). IMAGE PROCESSING APPARATUS, TRAINING APPARATUS, METHOD, AND NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM simplified abstract

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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 20240112441 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 a first feature from data of a first modal type and a second feature from data of a second modal type.
  • The determination unit then compares the first and second features to determine if the objects are identical.
  • The extraction unit is trained to extract similar features when the objects are identical.

Potential Applications

This technology could be used in various fields such as:

  • Biometrics
  • Security systems
  • Object recognition in autonomous vehicles

Problems Solved

This technology helps in:

  • Efficient object identification
  • Enhancing security measures
  • Improving accuracy in object recognition systems

Benefits

The benefits of this technology include:

  • Increased accuracy in object matching
  • Enhanced security protocols
  • Improved efficiency in data processing

Potential Commercial Applications

This technology could be applied in:

  • Surveillance systems
  • Biometric authentication devices
  • Autonomous vehicles

Possible Prior Art

One possible prior art could be:

  • Existing image processing systems for object recognition

Unanswered Questions

How does this technology handle variations in object appearance?

The abstract does not specify how the system accounts for changes in object appearance due to different angles or lighting conditions.

What is the computational complexity of this image processing apparatus?

The abstract does not provide information on the computational resources required to run this system efficiently.


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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