3D Eyeglasses Modeling With Texture Mapping for Virtual Try-On
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Solution Overview
Problem
Existing 3D computer-aided design (CAD) models of eyeglasses lack material properties, color, and surface texture, hindering high-quality, photo-realistic virtual try-on experiences.
Innovation Solution
A system and method for generating a 3D eyeglasses model by constructing component markers, extracting contours, building inner and outer surfaces, and applying opacity and texture maps to create a true-to-scale 3D model using a processing system with units for contour extraction, surface construction, and texture mapping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If 3D CAD models of eyeglasses are used for virtual try-on, then the basic geometric structure is available, but the material properties, color, and surface texture are missing resulting in poor visual quality
Solution Approach 1:
The system segments the eyeglasses into multiple components (frontal frame, temples, lenses, nose pads) and processes each component separately through photogrammetry. This allows detailed texture capture for each part while managing overall system complexity through modular processing of individual components rather than attempting to capture the entire eyeglasses structure at once.
Solution Approach 2:
The system creates accurate digital copies of physical eyeglasses components using photogrammetry technology. Multiple photographs are processed to generate 3D models that replicate the original material properties, color, and surface texture, providing photorealistic digital twins without requiring physical samples or complex scanning equipment.
2Reliability
If traditional 3D modeling methods are used, then the basic shape is captured, but the material properties and surface textures are lost reducing photo-realism quality
Solution Approach 1:
The system replaces traditional mechanical 3D scanning equipment with a photogrammetry-based computational approach. Instead of using complex scanning hardware to capture surface details, the system uses standard cameras and image processing algorithms to extract material properties, color, and texture information from multiple photographs, significantly simplifying the manufacturing process while maintaining high fidelity.
Solution Approach 2:
The system transforms 2D photographic data into 3D spatial representations by changing the dimensional parameters of the data. Multiple 2D images with varying perspectives are processed to generate 3D models with accurate geometric, material, and textural parameters, enabling photorealistic rendering without requiring physical measurement tools.
3Measurement precision
If high-quality photorealistic rendering is achieved with full material properties, then visual accuracy improves, but the data processing complexity and computational requirements increase
Solution Approach 1:
The processing system divides the eyeglasses into separate components (frontal frame, temples, lenses, nose pads) and processes each component's texture and material properties independently. This segmentation allows for optimized processing of each part's specific characteristics while managing overall computational complexity through modular handling of individual components rather than processing the entire structure uniformly.
Data Source
AI summary
In some embodiments, a system includes a processor; and a memory in communication with the processor for storing instructions, which when executed by the processor causes the device to receive a frontal frame component image of a frontal frame of a pair of eyeglasses; receive a temple component image of a temple component of the pair of eyeglasses; and use the frontal frame component image and the temple component image to generate a three-dimensional (3D) model of the pair of eyeglasses.