Nec corporation (20240104765). ESTIMATION DEVICE, ESTIMATION METHOD, AND STORAGE MEDIUM simplified abstract

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ESTIMATION DEVICE, ESTIMATION METHOD, AND STORAGE MEDIUM

Organization Name

nec corporation

Inventor(s)

Yasunori Babazaki of Tokyo (JP)

ESTIMATION DEVICE, ESTIMATION METHOD, AND STORAGE MEDIUM - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240104765 titled 'ESTIMATION DEVICE, ESTIMATION METHOD, AND STORAGE MEDIUM

Simplified Explanation

The patent application describes an estimation device that estimates feature points of an object, determines representative point candidates based on these feature points, and then estimates a representative point of the object from these candidates.

  • Feature point estimation means: Estimates multiple feature points related to an object.
  • Representative point candidate determination means: Determines multiple representative point candidates that could be the representative point of the object based on the feature points.
  • Representative point estimation means: Estimates the representative point from the candidate points.

Potential Applications

This technology could be used in:

  • Object recognition systems
  • Robotics for object manipulation
  • Augmented reality applications

Problems Solved

  • Accurate estimation of representative points of objects
  • Improved object recognition and manipulation

Benefits

  • Enhanced accuracy in object estimation
  • Increased efficiency in object recognition
  • Improved performance in robotics applications

Potential Commercial Applications

  • Manufacturing industry for quality control
  • Healthcare for medical imaging analysis
  • Automotive industry for autonomous vehicles

Possible Prior Art

One possible prior art could be the use of computer vision algorithms for object recognition and estimation.

Unanswered Questions

How does this technology handle complex objects with multiple representative points?

The technology could potentially use advanced algorithms to prioritize and estimate the most relevant representative point.

What is the computational complexity of this estimation device?

Further research and testing would be needed to determine the computational requirements of this device in real-world applications.


Original Abstract Submitted

an estimation device x mainly includes a feature point estimation means x, a representative point candidate determination means x, and a representative point estimation means x. the feature point estimation means x estimates plural feature points relating to an object. the representative point candidate determination means x determines plural representative point candidates that are candidates of a representative point of the object based on the plural feature points. the representative point estimation means x estimates the representative point based on the plural representative point candidates.