3D Modeling System Automating Photorealistic Packaging from 2D Assets
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Solution Overview
Problem
Current 3D modeling techniques for creating photorealistic virtual models of products and packages are costly, time-consuming, and require manual adjustments, making them inefficient for frequent changes in consumer products and packaging designs.
Innovation Solution
A data-driven 3D modeling system that automatically generates photorealistic virtual models from 2D imaging assets and dimensional data, using an imaging asset manipulation script to create splines, parametric models, and render high-fidelity 3D models quickly and efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual 3D modeling and scanning techniques are used to create photorealistic virtual models, then high fidelity and visual accuracy are achieved, but the process becomes costly and time-consuming
Solution Approach 1:
The patent uses 2D images as copies of the physical product to generate 3D models, avoiding the need for physical scanning. The system extracts geometric information from 2D image copies and reconstructs 3D models computationally, significantly reducing time while maintaining fidelity through algorithmic processing of the image data
Solution Approach 2:
The patent replaces manual mechanical modeling processes with automated computational algorithms. Instead of artists manually sculpting and adjusting 3D models, the system uses computer vision algorithms to automatically generate parametric models from 2D images, eliminating the time-consuming manual adjustment phase while preserving visual accuracy
2Manufacturing precision
If manual modeling adjustments are made to match visual acuity requirements, then photorealistic quality is achieved, but the process requires frequent repetition for product changes
Solution Approach 1:
The patent performs preliminary actions by automatically generating accurate parametric models from 2D images before any manual intervention is needed. The system pre-processes the image data to extract precise geometric information and creates initial 3D models that already meet visual accuracy requirements, eliminating the need for repeated manual adjustments when products change
Solution Approach 2:
The patent uses parametric modeling where product dimensions and geometric parameters are defined by variables that can be easily modified. When product designs change, users can simply update parameter values (such as dimensions, curvature radii, etc.) and the system automatically regenerates the 3D model, maintaining visual accuracy while enabling rapid adaptation to product changes
3Manufacturing precision
If conventional 3D modeling techniques are used, then high-quality models are produced, but the cost and time investment creates a barrier to widespread adoption
Solution Approach 1:
The patent creates a universal system that can generate 3D models for various consumer goods products using the same automated pipeline. The system handles multiple product types (bottles, cans, boxes, etc.) through a unified approach that processes 2D images and generates parametric models, reducing overall system complexity while maintaining high model quality across different product categories
Data Source
AI summary
Three-dimensional (3D) modeling systems and methods are described for automatically generating photorealistic, virtual 3D package and product models from two-dimensional (2D) imaging assets and dimensional data. The 3D modeling systems and methods include storing, by a memory with one or more processors, 2D imaging assets and dimensional datasets, obtaining, with an imaging asset manipulation script, a shape classification defining a real-world product or product package to be virtually modeled in 3D space, generating, with the imaging asset manipulation script, a spline based on an alpha channel extracted from a 2D imaging asset depicting the real-world product or package, and generating, with the imaging asset manipulation script, a parametric model based on the spline, the dimensional dataset, and the shape classification. A virtual 3D model is generated based on the parametric model and rendered, via a graphical display or environment, as a photorealistic image representing the real-world product or product package.