3D Model to 2D Orthographic Projection for Standee Cutting Paths
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Solution Overview
Problem
Existing technologies face challenges in efficiently converting three-dimensional digital models into two-dimensional orthographic projection images for applications like 3D printing, particularly in preserving desired visual characteristics and ensuring manufacturing feasibility.
Innovation Solution
A method involving the aggregation of points to generate ordered line segments, configuration of points in pathwise-connected hulls, generation of spline curves, and creation of normalized cutting paths using tuned parameters to produce a standee character from an orthographic projection image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional 3D to 2D conversion methods are used, then the conversion process is simple, but the visual fidelity and manufacturing feasibility are compromised
Solution Approach 1:
The conversion process is divided into distinct stages: rasterization of the 3D model, generation of orthographic projections, extraction of cutting paths, and creation of manufacturing instructions. Each stage processes specific data transformations, making the complex conversion manageable and precise.
Solution Approach 2:
The system performs preliminary rasterization of the 3D model at the desired scale before generating orthographic projections. This pre-processing step ensures that the visual characteristics are preserved in the raster image, which then guides the accurate extraction of cutting paths for manufacturing.
2Manufacturing precision
If detailed point aggregation and spline curve generation are performed, then the manufacturing precision is improved, but the processing time increases
Solution Approach 1:
The system generates cutting paths with higher precision than minimally required by using spline curves that closely follow the rasterized contours. This excessive precision in path generation ensures manufacturing accuracy while the automated process keeps time losses acceptable.
Solution Approach 2:
The system replaces manual or simple automated path generation with sophisticated algorithms that automatically perform point aggregation, hull generation, and spline curve fitting. This substitution of mechanical/manual processes with computational methods achieves high precision efficiently.
3Manufacturing precision
If orthographic projection is used to preserve visual characteristics, then the visual fidelity is improved, but the manufacturing feasibility may be reduced due to complex geometry
Solution Approach 1:
The system extracts only the essential cutting path information from the orthographic projection, separating the visual representation from the manufacturing instructions. By extracting pure geometric cutting paths from the detailed orthographic image, the system preserves visual fidelity while providing simplified manufacturing data.
Solution Approach 2:
The system creates a simplified 2D cutting path copy from the 3D model's orthographic projection. This copied representation maintains the essential visual characteristics needed for manufacturing while removing complex 3D geometry, making the manufacturing process easier while preserving visual fidelity.
Data Source
AI summary
Aspects of the disclosure are directed to generation of a standee character using an orthographic projection image. In accordance with one aspect, the disclosure is for generating and storing a standee character in a non-transitory memory which includes aggregating a plurality of other points from a plurality of pathwise-connected points to generate an ordered set of line segments; using the ordered set of line segments to generate a configuration of points in one of a plurality of pathwise-connected hulls; using the configuration of points to generate a plurality of spline curves in the one of the plurality of pathwise-connected hulls; and generating a plurality of parametric curves from the plurality of spline curves to generate a normalized cutting path.