18683053. INFORMATION PROCESSING APPARATUS AND METHOD simplified abstract (Sony Group Corporation)
Contents
INFORMATION PROCESSING APPARATUS AND METHOD
Organization Name
Inventor(s)
Tomoya Naganuma of Kanagawa (JP)
Hiroyuki Yasuda of Saitama (JP)
INFORMATION PROCESSING APPARATUS AND METHOD - A simplified explanation of the abstract
This abstract first appeared for US patent application 18683053 titled 'INFORMATION PROCESSING APPARATUS AND METHOD
Simplified Explanation: The patent application describes an information processing apparatus and method that aims to reduce a decrease in encoding efficiency by generating a predictive residual based on reflected light intensity data of a point cloud representing a three-dimensional object.
Key Features and Innovation:
- Generation of a predictive residual by decoding encoded data to determine the difference between reflected light intensity and predicted values.
- Derivation of a coefficient for a reflection model to enhance prediction processing.
- Prediction processing using the reflection model and coefficient to generate predicted values.
- Addition of the predictive residual and derived predicted value to generate reflected light intensity.
Potential Applications: This technology can be applied in information processing apparatus, electronic devices, image processing methods, and various other fields requiring efficient encoding and prediction processing.
Problems Solved: The technology addresses the challenge of reducing a decrease in encoding efficiency by accurately predicting reflected light intensity based on a reflection model and coefficient.
Benefits:
- Improved encoding efficiency in processing reflected light intensity data.
- Enhanced prediction accuracy for generating reflected light intensity values.
- Potential for applications in diverse industries requiring efficient information processing.
Commercial Applications: The technology can be utilized in image processing software, electronic devices with camera capabilities, and industries requiring accurate reflection modeling for object analysis.
Prior Art: Readers can explore prior research on predictive modeling in image processing, encoding efficiency in information processing, and techniques for enhancing reflection model accuracy.
Frequently Updated Research: Stay updated on advancements in predictive modeling algorithms, reflection model optimization, and applications of point cloud data in various industries.
Questions about Information Processing Technology: 1. How does the technology improve encoding efficiency in information processing? 2. What are the potential commercial applications of this innovation?
Question 1: How does the technology improve encoding efficiency in information processing?
Answer 1: The technology enhances encoding efficiency by accurately predicting reflected light intensity values based on a reflection model and coefficient, reducing the decrease in efficiency typically associated with encoding processes.
Question 2: What are the potential commercial applications of this innovation?
Answer 2: The technology has potential applications in image processing software, electronic devices with camera capabilities, and industries requiring accurate reflection modeling for object analysis, showcasing its versatility and commercial viability.
Original Abstract Submitted
There is provided an information processing apparatus and method to make it possible to reduce a decrease in encoding efficiency. A predictive residual that is a difference between a reflected light intensity that is attribute data of a point cloud representing an object having a three-dimensional shape as a set of points and a predicted value of the reflected light intensity generated by using a reflection model of light on a surface of the object is generated by decoding encoded data of the predictive residual, a coefficient of the reflection model is derived, a predicted value is derived by performing prediction processing by using the reflection model and the coefficient, and the reflected light intensity is generated by adding the predictive residual obtained by decoding the encoded data and the derived predicted value. The present disclosure can be applied to, for example, an information processing apparatus, an electronic device, an image processing method, a program or the like.
