HRTF Personalization Using Depth Image Template Matching
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Solution Overview
Problem
Existing HRTF personalization methods are complex, time-consuming, and impractical for large-scale implementation due to the need for specialized acoustic measurements and high-resolution three-dimensional head scans, which are difficult to obtain from a large number of users.
Innovation Solution
A system and method that utilize a depth image of a user to create personalized HRTFs by collecting a generic set of HRTFs, a base three-dimensional face template, and a depth image, bending the template to match the user's face, calculating distortion parameters, and adjusting the HRTFs to generate personalized sound.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If specialized acoustic measurements and high-resolution three-dimensional head scans are used for HRTF personalization, then measurement precision is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The patent uses a depth image (a simplified copy) of the user's head to estimate HRTF personalization parameters, instead of requiring high-resolution three-dimensional head scans. This copying approach maintains sufficient measurement precision for HRTF personalization while dramatically simplifying the data collection process and improving ease of operation.
Solution Approach 2:
The patent replaces complex mechanical/acoustic measurement systems with a depth imaging system. Instead of using specialized acoustic measurement equipment and high-resolution 3D scanning, the system substitutes these with a depth camera that captures head geometry, which is then used to estimate HRTF parameters through image processing and template matching.
2Measurement precision
If specialized acoustic measurements and high-resolution three-dimensional head scans are used for HRTF personalization, then measurement precision is improved, but device complexity worsens
Solution Approach 1:
The patent uses a depth image (a simplified copy) of the user's head to estimate HRTF personalization parameters, instead of requiring high-resolution three-dimensional head scans. This copying approach maintains sufficient measurement precision for HRTF personalization while dramatically simplifying the data collection process and improving ease of operation.
Solution Approach 2:
The patent replaces complex mechanical/acoustic measurement systems with a depth imaging system. Instead of using specialized acoustic measurement equipment and high-resolution 3D scanning, the system substitutes these with a depth camera that captures head geometry, which is then used to estimate HRTF parameters through image processing and template matching.
3Measurement precision
If manual HRTF measurements are performed, then HRTF personalization accuracy is improved, but loss of time worsens
Solution Approach 1:
The patent uses a pre-collected database of HRTF measurements from multiple subjects to create generic HRTF sets and three-dimensional face templates in advance. During personalization, the system quickly matches the user's depth image to the pre-prepared templates and applies pre-computed distortion parameters, eliminating the need for time-consuming manual measurements while maintaining personalization accuracy.
Solution Approach 2:
The patent uses a depth image (a simplified copy) of the user's head to estimate HRTF personalization parameters, instead of requiring high-resolution three-dimensional head scans. This copying approach maintains sufficient measurement precision for HRTF personalization while dramatically simplifying the data collection process and improving ease of operation.
Data Source
AI summary
Systems and methods for HRTF personalization are provided. More specifically, the systems and methods provide HRTF personalization for a user based on a depth image of the user. Accordingly, the provided systems and methods are less complicated, easier to use, and easier to implement for personalizing HRTFs when compared to previously utilized systems and methods that required high-resolution three-dimensional head scans or one or more specific and/or discrete anthropomorphic measurements of the user.


