ID Document Personalization via 3D Head Model Reconstruction
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Solution Overview
Problem
Existing methods for personalizing ID documents with biometric facial recognition face challenges in capturing distortion-free two-dimensional facial images, which are crucial for reliable identification, due to issues like lighting, camera positioning, and image quality.
Innovation Solution
A method that uses image data to determine three-dimensional head model and texture data, allowing for the generation of a two-dimensional facial image with facial features suitable for biometric recognition, which is then stored in an ID document, enabling improved reliability and reduced error rates in identification processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If two-dimensional facial images are captured using traditional camera methods, then the process is simple and quick, but the images often contain distortion and do not meet the quality requirements for reliable biometric facial recognition
Solution Approach 1:
The patent transitions from capturing two-dimensional facial images directly to capturing three-dimensional head models. By adding the third dimension (depth), the system obtains comprehensive geometric information about the head and face, enabling distortion-free reconstruction of facial features and significantly improving biometric recognition reliability while providing more robust data for identification purposes
Solution Approach 2:
The patent introduces a three-dimensional head model as an intermediary between image capture and biometric recognition. Instead of directly using captured two-dimensional images for recognition, the system first creates a 3D head model that serves as an intermediate representation, from which distortion-free two-dimensional facial images can be reconstructed, thereby improving recognition reliability
2Manufacturing precision
If strict image capture parameters are enforced to ensure quality two-dimensional facial images, then recognition quality improves, but the personalization process becomes complex and costly
Solution Approach 1:
The patent inverts the traditional approach by not trying to capture perfect two-dimensional facial images directly, but instead capturing three-dimensional head models and then generating the required two-dimensional facial images from these 3D models. This inversion eliminates the need for strict capture parameters and complex positioning requirements, simplifying the personalization process while ensuring high image quality
Solution Approach 2:
The patent changes the fundamental parameter being captured from two-dimensional image coordinates to three-dimensional spatial coordinates. By capturing depth information and geometric structure in 3D space, the system obtains complete facial geometry data without being constrained by lighting conditions, camera positioning, or other parameters that affect 2D image quality, thereby simplifying the capture process
3Measurement precision
If three-dimensional head model data is captured and processed to generate two-dimensional facial images, then distortion-free facial features are obtained for improved recognition, but the data processing complexity increases
Solution Approach 1:
The patent performs preliminary action by capturing the complete three-dimensional head model geometry first, before any two-dimensional facial image generation is needed. This preliminary 3D capture provides all necessary geometric information in advance, allowing multiple different 2D views to be generated later without requiring additional capture complexity, thereby simplifying the overall process
Data Source
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AI summary
The invention relates to a method for personalizing an ID document, comprising the following: providing image data for a person (4) in a data processing device (6); determining head model data, representing a three-dimensional head model for the person (4), using the image data and texture data associated with the three-dimensional head model in the data processing device (6); determining facial data, representing a two-dimensional facial image with facial features for biometric facial recognition of the person (4), from the head model data and the texture data in the data processing device (6); and storing the facial data in a storage medium (2) of an ID document (1). Furthermore, an ID document is created.