Subject-Area Distance Extraction for Accurate 3D Shape Estimation
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Solution Overview
Problem
Existing technologies face challenges in accurately extracting the area of a specific subject from distance information, often leading to erroneous results due to range finding errors and background interference, which complicates the estimation of three-dimensional shapes in mixed reality applications.
Innovation Solution
An information processing device is configured with a subject extraction unit to identify the subject area, a distance information calculation unit to calculate relevant distances, and an area extraction unit to isolate and output accurate distance information for the subject area, utilizing techniques such as LiDAR and image processing to enhance precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If distance information is calculated for the entire image, then coverage area is improved, but measurement precision deteriorates due to background interference and range finding errors
Solution Approach 1:
The patent divides the image into subject area and background area using subject extraction processing. Distance information calculation is then performed separately for each area, allowing precise measurement of the subject while maintaining comprehensive coverage of the entire image.
Solution Approach 2:
The patent extracts distance information specifically for the subject area from the overall distance information. By isolating and extracting only the subject-related distance data, the system achieves high precision measurements without being affected by background interference.
2Productivity
If subject extraction is performed using only distance information, then processing speed is improved, but reliability deteriorates due to inability to distinguish subject from background
Solution Approach 1:
The patent combines image information processing with distance information processing to perform subject extraction. By merging these two types of information, the system achieves both high processing speed and high reliability in subject identification, overcoming the limitations of using either method alone.
Data Source
AI summary
An information processing device includes a subject extraction unit for extracting an area of a subject from an image to generate area information of the subject, a distance information calculation unit for calculating distance information corresponding to the image on the basis of information on a distance within the image, and an area extraction unit for using the area information of the subject generated by the subject extraction unit to extract distance information of the area of the subject from the distance information calculated by the distance information calculation unit.