3D Object Halftoning via Shell-Core Segmentation
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Solution Overview
Problem
Existing 3D printing technologies face challenges in efficiently converting object data into control instructions that satisfy different constraints for various portions of a 3D object, particularly in achieving accurate reproduction of optical and mechanical properties, especially at the surface and interior of the object.
Innovation Solution
The technique processes object data to separate shell and core portions, using error diffusion halftoning for the shell to enhance surface detail and matrix halftoning for the core, allowing for more accurate and computationally efficient generation of control instructions, considering the limitations of available printing operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If error diffusion halftoning is applied to the entire object data, then high spatial and visual detail is achieved, but computational cost and processing time increase significantly
Solution Approach 1:
The patent divides the 3D object data into two distinct portions: shell data representing the outer surface region and core data representing the interior region. This segmentation allows different halftoning techniques to be applied to different portions, optimizing both quality and computational efficiency. The shell portion receives error diffusion halftoning for high detail, while the core portion uses matrix halftoning for faster processing.
Solution Approach 2:
The patent applies different halftoning techniques to different spatial regions of the object based on their specific requirements. Error diffusion halftoning is applied locally to the shell portion where high visual detail is critical for appearance, while matrix halftoning is applied to the core portion where computational efficiency is more important and visual detail requirements are lower.
2Manufacturing precision
If error diffusion halftoning is applied to the entire object data, then accurate reproduction of source data is achieved, but computational complexity increases
Solution Approach 1:
The patent segments object data into shell and core portions, applying error diffusion halftoning only to the shell data where accurate representation is most visible, and matrix halftoning to the core data. This reduces overall computational complexity while maintaining accurate representation where it matters most for visual fidelity.
Solution Approach 2:
Different halftoning algorithms are applied to different spatial regions based on their specific requirements. The shell portion receives the more computationally intensive error diffusion method for accurate local representation, while the core portion uses the simpler matrix method, reducing overall computational complexity while maintaining quality where needed.
3Productivity
If different halftoning techniques are applied to different portions of the object, then processing efficiency is improved, but data processing complexity increases
Solution Approach 1:
The patent implements segmentation of object data into shell and core portions with distinct processing pipelines. This segmentation enables parallel or sequential processing with different algorithms, improving overall processing efficiency by matching computational resources to the specific requirements of each portion rather than applying a single complex algorithm to all data.
Solution Approach 2:
The patent applies locally optimized processing strategies: error diffusion halftoning for the visually critical shell portion and matrix halftoning for the interior core portion. This local quality approach improves processing efficiency by avoiding unnecessary computational overhead in regions where high fidelity is less critical, while managing data processing complexity through clear separation of processing requirements.
Data Source
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AI summary
Certain examples described herein relate to the processing of object data corresponding to a three-dimensional object. First data corresponding to a first portion of the three-dimensional object and second data corresponding to a second portion of the three-dimensional object, separate from the first portion, are determined. The first data is halftoned using a first halftoning technique to generate control instructions for an apparatus to produce the first portion of the three-dimensional object. The second data is halftoned using a second halftoning technique to generate control instructions for the apparatus to produce the second portion of the three-dimensional object.