3D Model Correction Using Geometrical Features for Edge Precision
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Solution Overview
Problem
Existing image recognition technologies face challenges in accurately estimating the shape of objects with edges or corners, leading to reduced precision and reproducibility in three-dimensional model reproduction, and increasing data amounts with higher resolution.
Innovation Solution
An information processing apparatus and method that acquires shape estimation information and geometrical feature information, using a correction unit to improve the reproducibility of three-dimensional models by correcting shape estimates based on geometrical features, particularly for edge and corner parts, without significantly increasing data volume.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the resolution for estimation or reproduction of the shape of an object is increased, then the reproducibility of the three-dimensionally shaped model is improved, but the data amount increases
Solution Approach 1:
The patent divides the object surface into multiple regions based on curvature characteristics (high curvature regions such as edges and corners, and low curvature regions such as flat surfaces). This segmentation allows different processing strategies to be applied to different regions, improving overall model reproducibility without uniformly increasing data resolution across the entire object.
Solution Approach 2:
The patent applies different estimation resolutions to different regions of the object. High curvature regions (edges and corners) are estimated with higher resolution to capture geometric details, while low curvature regions are estimated with lower resolution. This local quality approach improves reproducibility where needed while controlling overall data amount.
2Measurement precision
If the resolution for estimation or reproduction of the shape of an object is increased, then the precision of estimation for edge and corner parts is improved, but the data amount increases
Solution Approach 1:
The patent segments the object surface into high curvature regions (edges and corners) and low curvature regions (flat surfaces). By identifying and separately processing high curvature regions with higher estimation resolution, the patent improves measurement precision for critical geometric features without applying high resolution uniformly across the entire object, thus controlling data amount.
Solution Approach 2:
The patent applies higher estimation resolution locally to high curvature regions where precision is most needed (edges and corners), while using lower resolution for low curvature regions. This targeted approach improves measurement precision for edge and corner parts specifically, while minimizing the overall data amount increase.
Data Source
AI summary
To enable both an increase in reproducibility for reproduction of a shape of an object and suppression of an increase in data amount. An information processing apparatus including: an acquisition unit that acquires first information associated with a result of estimation of a shape of an object on a real space and second information associated with a result of estimation of a geometrical feature of the object; and a correction unit that corrects the first information on the basis of the second information.