3D Shape Estimation Using Polarized Light Region Division
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Solution Overview
Problem
Conventional methods for estimating the three-dimensional shape of objects in real space face high processing loads and increased data amounts, often struggle with recognizing physical boundaries, leading to reduced accuracy in shape estimation.
Innovation Solution
An information processing device that divides the image plane into regions based on geometric structure information from polarized light, acquires orientation information, and estimates the object's shape in these regions, using multiple viewing points to improve accuracy and reduce processing load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional methods are used to estimate three-dimensional shape of objects, then processing can be performed, but processing load is high and data amount increases
Solution Approach 1:
The image plane is divided into multiple regions based on geometric structure information distribution, and only specific regions (regions of interest) are selected for processing. This segmentation approach reduces the amount of data that needs to be processed while maintaining estimation accuracy, directly addressing the contradiction between processing efficiency and data amount.
2Measurement precision
If conventional methods are used to estimate three-dimensional shape, then processing can be performed, but physical boundaries are difficult to recognize leading to reduced accuracy
Solution Approach 1:
The patent utilizes polarized light information to detect physical boundaries, which is analogous to using optical property changes to enhance detection. By analyzing geometric structure information derived from polarized light, the system can effectively identify physical boundaries that are difficult to detect with conventional methods, thereby improving shape estimation accuracy.
Solution Approach 2:
The patent changes the detection parameter from conventional intensity-based imaging to geometric structure information based on polarized light. This parameter change enables better detection of physical boundaries and improves the accuracy of three-dimensional shape estimation by providing additional structural information about the object surfaces.
3Area of stationary object
If the entire image plane is processed, then complete coverage is achieved, but processing load increases
Solution Approach 1:
The patent extracts only the necessary regions (regions of interest) from the entire image plane based on geometric structure information distribution. By taking out only the relevant portions for processing while maintaining complete coverage where needed, the system reduces processing complexity without sacrificing essential information.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables more accurate and efficient estimation of the three-dimensional shape of objects in real space by effectively recognizing physical boundaries and reducing data processing requirements.
Implementation Method 1
the geometric structure information is information corresponding to a detection result of each of a plurality of pieces of polarized light having different polarization directions
Data Source
AI summary
There is provided an information processing device to enable a three-dimensional shape of an object in a real space to be estimated in a more preferred manner, the information processing device including: a division unit configured to divide, into one or more regions, an image plane corresponding to a viewing point in a real space on which geometric structure information is mapped in accordance with distribution of the geometric structure information; an acquisition unit configured to acquire orientation information indicating at least one of a position and an orientation of the viewing point; an extracting unit configured to extract, as a region of interest, at least part of the regions obtained by dividing the image plane; and an estimation unit configured to estimate a shape of an object in the real space based on the geometric structure information in regions of interest on image planes respectively corresponding to a plurality of different viewing points associated with each other among the viewing points, wherein the geometric structure information is information corresponding to a detection result of each of a plurality of pieces of polarized light having different polarization directions.