Ear Image Matching for HRTF Determination

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Solution Overview

Problem

Current methods for determining head-related transfer functions (HRTFs) are time-consuming, expensive, and cumbersome, requiring numerous measurements in an anechoic chamber.

Innovation Solution

A method and system that use image processing to compare input images of a subject's ear with a database of reference images to select pre-determined HRTF information, including filter coefficients for hearing aids, based on matching criteria such as ear shape and size, thereby determining HRTFs efficiently.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional measurement methods are used to determine HRTFs, then measurement accuracy is improved, but measurement time and cost increase significantly

Engineering Contradiction:
ImproveHRTF measurement accuracyVSAvoidmeasurement time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent creates a database of reference images from subjects whose HRTFs have been measured using traditional methods. These reference images serve as templates that can be compared against new subjects' images. This copying approach allows the system to transfer HRTF data from reference subjects to new subjects through image matching, significantly reducing measurement time while maintaining accuracy through the use of pre-measured reference data.

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The system performs preliminary measurements and image captures during the reference database creation phase. By pre-capturing images and pre-measuring HRTFs for multiple reference subjects with varying ear characteristics, the system prepares all necessary data in advance. When a new subject is assessed, the pre-prepared reference data can be quickly matched and applied, eliminating the need for time-consuming measurements on each new subject.

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If traditional measurement methods are used to determine HRTFs, then measurement accuracy is improved, but equipment and operational complexity increase

Engineering Contradiction:
ImproveHRTF measurement accuracyVSAvoidmeasurement system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces complex mechanical measurement systems (anechoic chambers, precision positioning equipment, multiple microphones) with an image-based computational system. Instead of physically measuring each subject's HRTF using cumbersome equipment, the system uses digital image processing and pattern recognition to match subjects with reference images, then applies the corresponding HRTF data computationally. This substitution dramatically simplifies the measurement process while maintaining accuracy.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The reference image database serves multiple functions: it acts as a template for matching, a storage medium for HRTF data, and a comparison reference for determining the best match. The system can handle various ear shapes and configurations through a single universal database structure, making the measurement process adaptable to different subjects without requiring subject-specific equipment configurations.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Productivity

If image-based matching is used to determine HRTFs, then measurement speed is improved, but measurement precision may deteriorate

Engineering Contradiction:
ImproveHRTF determination speedVSAvoidHRTF matching accuracy
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The system employs feedback mechanisms in the image matching process by calculating match quality scores and using these to refine the selection of the best matching reference image. The comparison process evaluates multiple reference images against the new subject's image, scores each match, and selects the one with the highest similarity. This feedback-driven selection ensures that the most appropriate HRTF data is applied, maintaining precision while enabling rapid processing.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS9030545B2Systems and methods for determining head related transfer functions
Publication Date: 2015.05.12 GN HEARING AS
  • US9030545B2 patent drawing
  • US9030545B2 patent drawing
  • US9030545B2 patent drawing

AI summary

A method for determining HRTF includes obtaining a plurality of reference images of different respective ears, one or more of the reference images associated with a corresponding pre-determined HRTF information, obtaining information regarding an input image that includes an image of an ear of a subject, comparing the information regarding the input image with information regarding the reference images using a processor, and selecting one of the pre-determined HRTF information based at least in part on a result of the act of comparing.