3D Mesh Topology Mapping for Personalized Figurine Manufacturing
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Solution Overview
Problem
The high cost of creating personalized products for each customer can exceed the value derived from them, making product personalization prohibitively expensive, especially when integrating digital images with branded or themed elements.
Innovation Solution
A method for processing three-dimensional (3D) graphics data involves receiving a polygonal mesh representing a humanoid face, determining a mapping to a second polygonal mesh, generating a third mesh with the same topology but different geometry, and applying smoothing filters to improve surface continuity, allowing for the integration of personalized facial features into themed figurines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If personalized products are created for each customer using traditional 3D modeling methods, then product personalization value is improved, but manufacturing cost increases prohibitively
Solution Approach 1:
The patent uses template-based 3D models that can be copied and customized for different customers. Instead of creating entirely new 3D models for each personalized product, the system starts with pre-established templates representing different product types, applies customer-specific modifications, and generates the final personalized model. This copying approach dramatically reduces the computational and time resources required for each customization while maintaining high personalization quality.
Solution Approach 2:
The patent performs preliminary actions by pre-processing and establishing standardized 3D templates and geometric models before the actual personalization process. These pre-prepared templates include standardized topologies, mesh structures, and parameter definitions that are ready for rapid customization. By performing this foundational work in advance, the system eliminates the need for time-consuming 3D modeling during the actual product personalization, thereby reducing manufacturing costs and processing time.
2Manufacturing precision
If detailed 3D models are created from customer images to ensure high personalization quality, then product uniqueness is improved, but processing time and computational resources increase
Solution Approach 1:
The patent transforms customer input images into standardized geometric parameters that conform to pre-defined template structures. Instead of directly modeling from raw images, the system extracts key geometric parameters (such as facial features, body proportions, or product dimensions) and maps them to corresponding parameters in the template models. This parameter-based approach maintains high personalization quality by preserving customer-specific characteristics while dramatically reducing processing time through automated parameter extraction and mapping algorithms.
Solution Approach 2:
The patent applies local quality modifications to specific regions of the 3D template models based on customer preferences and measured parameters. Rather than reprocessing the entire model, the system selectively modifies only the necessary local regions (such as facial features, clothing details, or product dimensions) while preserving the standardized structure of the rest of the model. This localized approach ensures high personalization quality in critical areas while minimizing overall processing time and computational resources.
3Productivity
If standardized templates are used to reduce processing time, then manufacturing efficiency is improved, but product uniqueness deteriorates
Solution Approach 1:
The patent segments the 3D model into distinct modular components that can be independently customized. The template models are divided into separate geometric elements, surface regions, and parameter groups that can be individually adjusted without affecting the entire model. This segmentation allows the system to maintain standardized templates for efficient processing while enabling precise customization of specific segments to achieve product uniqueness. Each segment can be modified based on customer parameters while the overall template structure provides manufacturing efficiency.
Data Source
AI summary
Techniques are disclosed for creating digital assets that can be used to personalize themed products. For example, a workflow and pipeline used to generate a 3D model from digital images of a person's face and to manufacture a personalized, physical figurine customized with the 3D model are disclosed. The 3D model of the person's face may be simplified to match a topology of a desired figurine. While the topology is deformed to match that of the figurine, the 3D model retains the geometry of the child's face. Simplifying the topology of the 3D model in this manner allows the mesh to be integrated with or attached to a mesh representing desired figurine.