2D Sketch Data Detection for 3D Reverse Modeling
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Solution Overview
Problem
Current methods for creating three-dimensional models from two-dimensional sketch data face challenges such as data errors during scanning, difficulty in acquiring precise shape information, and non-parametric connections between model features, leading to inconsistencies between designed and actual prototypes.
Innovation Solution
A method for detecting two-dimensional sketch data from source model data involves establishing a reference coordinate system, projecting data onto a work plane, dividing it into feature segments based on curvature distribution, and establishing constraints and numerical information to create parametrically connected two-dimensional sketch data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If surface-fitting method is used to detect model data, then the outer surface of the model can be obtained, but precise shape information cannot be acquired
Solution Approach 1:
The patent segments the three-dimensional model data into multiple two-dimensional cross-sectional views along different axes (X, Y, Z axes). By dividing the complex 3D shape detection into multiple 2D sectional detections, the system can capture precise shape information at each section while maintaining overall model accuracy. This segmentation approach transforms the difficult 3D measurement problem into manageable 2D measurement tasks.
2Productivity
If scanned data is used directly for modeling, then digital data can be acquired, but data errors and distortion occur
Solution Approach 1:
The patent introduces two-dimensional cross-sectional sketch data as an intermediary between the scanned three-dimensional model data and the final parametric CAD model. The 2D sectional sketches serve as a mediator that filters and structures the raw scanned data, allowing precise geometric feature extraction while eliminating scanning errors and distortions through manual or automated sketching processes.
3Adaptability or versatility
If conventional detection method is used, then model data can be detected, but parametric connection between features is not established
Solution Approach 1:
The patent transitions from three-dimensional model data to two-dimensional cross-sectional sketch data, utilizing the dimensional reduction to establish parametric connections more effectively. In the 2D sectional views, geometric features can be easily connected through parametric constraints (lines, arcs, circles with defined relationships), creating a parametrically connected model structure that enables adaptive modification while maintaining overall model consistency.
Data Source
AI summary
A method for detecting two dimensional sketch data from source model data for three dimensional reverse modeling. The method includes the steps of detecting optional model data, establishing X-axis, Y-axis and Z-axis of the model data depending upon a reference coordinate system information inputted from a user, and setting a work plane for detecting two dimensional section data of the model data; projecting, on the work plane, two dimensional section data to be detected from the model data or polylines detected by designating a detection position; detecting two dimensional projected section data of the model data projected on the work plane, and dividing the two dimensional projected section data into feature segments depending upon a curvature distribution; and establishing a constraint and numerical information in accordance with connection of the divided feature segments of the two dimensional projected section data, and creating two dimensional sketch data.