3D Head Model Generation from 2D Images Using Shape Priors
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Solution Overview
Problem
Current methods for generating high-quality 3D head and body models from user-provided photos, especially those taken with smartphones, lack effectiveness in producing personalized and photo-realistic representations for online commerce applications, such as virtual fitting rooms, due to limitations in image quality and accuracy.
Innovation Solution
A method involving automated face landmark recognition, 3D geometry reconstruction using shape priors, texture map generation, and interpolation to create personalized 3D head models from 2D images, which can be used to generate high-quality 3D head and body models for online commerce applications, including virtual fitting rooms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high quality 3D head and body models are generated from user-provided photos, then the personalization and photo-realistic representation improve, but the image quality requirements increase making it impractical for users to provide sufficient quality photos
Solution Approach 1:
The system transforms 2D image parameters into 3D model parameters through automated landmark recognition and geometry reconstruction. By changing the dimensional parameter from 2D to 3D and using shape priors to guide the transformation, the system can generate high-quality 3D models from lower-quality 2D smartphone photos without requiring professional photography equipment
Solution Approach 2:
The patent introduces intermediate processing steps including automated face landmark recognition, 3D geometry reconstruction using shape priors, and texture map generation. These intermediary processes act as mediators that bridge the gap between low-quality input photos and high-quality 3D models, enabling personalization without requiring high-quality input images
2Manufacturing precision
If professional photography studio setup is used to capture high quality images, then the 3D model quality improves, but the complexity and cost of the process increases making it impractical for regular users
Solution Approach 1:
The system enables users to create their own 3D models using their existing smartphone cameras without requiring professional photography studios or equipment. The automated processing pipeline performs landmark recognition, 3D reconstruction, and model generation automatically, allowing users to serve themselves without external professional assistance
Solution Approach 2:
The patent replaces the mechanical photography studio setup with a computational approach. Instead of using controlled physical environments and professional equipment, the system uses image processing algorithms, shape priors, and computer vision techniques to achieve 3D model generation from casual smartphone photos
3Ease of operation
If automated processing is implemented to generate 3D models from smartphone photos, then the ease of use improves, but the accuracy and personalization quality may deteriorate without proper image quality
Solution Approach 1:
The system performs preliminary actions by incorporating shape priors that encode knowledge about typical human face and body geometries. These pre-established geometric constraints guide the 3D reconstruction process, ensuring that even when input photos are of varying quality, the resulting models maintain anatomical accuracy and realistic proportions
Solution Approach 2:
The automated processing pipeline uses feedback mechanisms where the 3D reconstruction algorithm iteratively refines the model by comparing projected 2D landmarks with detected features in the input images. This feedback loop allows the system to adjust and improve model accuracy automatically, maintaining personalization quality while preserving ease of use
Data Source
AI summary
There is provided a method of generating an image file of a personalized 3D head model of a user, the method comprising the steps of: (i) acquiring at least one 2D image of the user's face; (ii) performing automated face 2D landmark recognition based on the at least one 2D image of the user's face; (iii) providing a 3D face geometry reconstruction using a shape prior; (iv) providing texture map generation and interpolation with respect to the 3D face geometry reconstruction to generate a personalized 3D head model of the user, and (v) generating an image file of the personalized 3D head model of the user. A related system and computer program product are also provided.