3D Imaging HRTF Measurement via Optical Scanning
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Solution Overview
Problem
Current methods for measuring head-related transfer functions (HRTFs) are complex, expensive, and invasive, requiring specialized equipment and trained technicians, making them impractical for widespread use in audio applications.
Innovation Solution
A system using 3D imaging to calculate HRTFs based on body structure scans, allowing for non-invasive, cost-effective measurement and sharing of HRTFs across devices, enabling improved audio experiences in virtual environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional acoustic HRTF measurement methods are used, then measurement precision is improved, but device complexity and cost increase significantly
Solution Approach 1:
The patent replaces the mechanical/acoustic measurement system (speaker arrays, anechoic chambers, miniaturized microphones) with an optical imaging system (3D camera or depth sensor). Instead of physically measuring sound transmission through the head and body, the system captures optical images and computationally derives HRTF parameters from the geometric data, fundamentally substituting one physical domain for another.
Solution Approach 2:
The patent creates a digital copy or model of the user's head and body geometry through 3D imaging. This digital twin is then used to simulate and calculate HRTF characteristics without requiring physical measurement equipment. The optical image serves as a copy that contains all necessary geometric information for HRTF computation.
2Measurement precision
If traditional acoustic HRTF measurement methods are used, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system enables users to perform their own HRTF measurement without requiring trained technicians or specialized facilities. The 3D imaging process is automated and can be completed by the user themselves using a smartphone or standard camera, making the measurement process self-serviceable and eliminating the need for expert operators.
Solution Approach 2:
The patent uses a universal imaging device (3D camera, depth sensor, or smartphone camera) that can perform multiple functions: capturing head geometry, measuring body dimensions, and enabling HRTF calculation. This single device replaces the specialized, multi-component acoustic measurement system, making the process accessible to ordinary users in any environment.
3Measurement precision
If invasive measurement instrumentation is placed in the subject's body, then measurement precision is improved, but object-affected harmful factors increase
Solution Approach 1:
The patent replaces invasive physical measurement (placing microphones in ear canals) with non-invasive optical measurement. The 3D camera captures external geometry of the head and body, and computational algorithms derive internal acoustic properties from this external data, completely eliminating the need to insert any instrumentation into the user's body.
Solution Approach 2:
The patent introduces computational modeling as an intermediary between external optical measurement and internal acoustic property determination. Instead of directly measuring inside the ear canal, the system uses the external 3D geometry as an intermediary to calculate the acoustic transfer functions that would result from internal measurements, avoiding direct intrusion while obtaining equivalent information.
Data Source
AI summary
Techniques are provided for Head-Related Transfer Function (HRTF) measurement and sharing for audio applications. A methodology implementing the techniques according to an embodiment includes receiving a plurality of three-dimensional (3D)images of a user. The images are generated by a 3D camera or other image capture device, and each image is associated with a unique viewing angle or perspective of the user. The method also includes generating a 3D volume based on the 3D images and then generating a 3D mesh surface based on the 3D volume. The method further includes computing HRTFs associated with the user, based on the 3D mesh surface. Additionally, techniques are disclosed to provide a platform for sharing of the calculated HRTFs between audio applications executing on different devices.