Sony group corporation (20240312053). REASONING APPARATUS, REASONING METHOD, AND PROGRAM simplified abstract
Contents
REASONING APPARATUS, REASONING METHOD, AND PROGRAM
Organization Name
Inventor(s)
Natsuko Ozaki of Kanagawa (JP)
REASONING APPARATUS, REASONING METHOD, AND PROGRAM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240312053 titled 'REASONING APPARATUS, REASONING METHOD, AND PROGRAM
The reasoning apparatus described in the patent application aims to estimate positions of predetermined areas of subjects with higher precision.
- Acquiring section acquires second image data and a trained model based on reference positions and relative positions obtained through a moving process.
- Reasoning section uses the trained model and second image data to estimate positions of a third subject and a predetermined area of the third subject.
- Potential Applications:**
This technology can be used in various fields such as medical imaging, biometrics, and surveillance systems where precise subject positioning is crucial.
- Problems Solved:**
This technology addresses the issue of accurately estimating positions of subjects and their predetermined areas, which can be challenging with traditional methods.
- Benefits:**
The benefits of this technology include improved accuracy in subject positioning, which can lead to better analysis, diagnosis, and tracking of subjects in various applications.
- Commercial Applications:**
The technology can be commercially applied in industries such as healthcare, security, and research where precise subject positioning is essential for effective outcomes.
- Questions about the Technology:**
1. How does this technology improve upon existing methods of estimating subject positions?
- This technology enhances precision by utilizing trained models and image data for accurate estimations.
2. What are the potential limitations of this technology in real-world applications?
- The limitations may include the need for high-quality image data and potential challenges in training accurate models for diverse subjects.
Original Abstract Submitted
there is provided a reasoning apparatus to estimate positions of predetermined areas of subjects more highly precisely. the reasoning apparatus includes an acquiring section that acquires second image data and a trained model obtained on the basis of a third reference position and a fourth reference position that are obtained by a moving process of moving a first reference position of a first subject captured in first image data and a second reference position of a second subject captured in the first image data away from each other, and a third relative position and a fourth relative position that are obtained on the basis of a first relative position of a predetermined area of the first subject relative to the first reference position, a second relative position of a predetermined area of the second subject relative to the second reference position and the moving process, and a reasoning section that obtains a fifth reference position of a third subject captured in the second image data and a fifth relative position of a predetermined area of the third subject relative to the fifth reference position on the basis of the trained model and the second image data.
