Rule-Based 3D Mesh Deformation for Personalized HR Filters
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Solution Overview
Problem
Existing methods for generating personalized head-related transfer function (HR) filters are impractical due to high costs, time consumption, and complexity, and existing 3D mesh deformation techniques lack the precision and efficiency required for large-scale personalization.
Innovation Solution
A method for parameterizing 3D polygonal mesh deformation that allows for precise and efficient generation of HR filters by specifying physical features to be deformed and manipulating landmarks as handles, enabling the creation of a large number of personalized HR filters from a small number of 3D meshes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If acoustic measurement methods are used to obtain personal HR filters, then measurement precision and reliability are improved, but loss of time and device complexity increase significantly
Solution Approach 1:
The patent uses 3D mesh models as copies of actual human anatomy (head, torso, outer ears) to simulate acoustic measurements. Instead of performing real acoustic measurements on each individual, the system creates virtual copies of their anatomical structures and computes HR filters from these models, dramatically reducing time while maintaining accuracy through precise mesh representation of anatomical features.
Solution Approach 2:
The patent replaces the physical acoustic measurement system with a computational simulation system. Instead of using microphones and acoustic chambers to measure HR filters directly from real subjects, the system uses 3D mesh deformation technology combined with boundary element method (BEM) simulations to compute HR filters from virtual anatomical models, eliminating the need for complex physical measurement equipment and procedures.
2Measurement precision
If acoustic measurement methods are used to obtain personal HR filters, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent creates virtual copies of anatomical structures using 3D mesh models derived from standard anatomical data. These virtual models serve as substitutes for physical measurement setups, allowing HR filter computation without requiring complex acoustic measurement equipment, anechoic chambers, or specialized measurement hardware.
Solution Approach 2:
The patent substitutes the entire acoustic measurement apparatus with a computational pipeline consisting of 3D mesh deformation algorithms and boundary element method solvers. This replaces physical measurement devices with software-based simulation systems, reducing hardware complexity while maintaining measurement precision through accurate numerical modeling of acoustic wave propagation.
3Productivity
If 3D mesh deformation techniques are used for HR filter generation, then productivity is improved, but manufacturing precision deteriorates without proper landmark handling
Solution Approach 1:
The patent performs preliminary identification and marking of anatomical landmarks on 3D meshes before deformation operations. By pre-defining critical anatomical features (such as ear canal openings, pinna contours, and head shape characteristics) as landmarks, the system ensures that subsequent deformations maintain anatomical accuracy and precision, preventing distortion of key features while enabling efficient batch processing.
Solution Approach 2:
The patent introduces landmarks as intermediary control points between the deformation algorithm and the final mesh geometry. These landmarks act as constraints and guides during the deformation process, ensuring that anatomically critical regions are deformed correctly while allowing flexibility in less critical areas, thus maintaining manufacturing precision throughout the high-speed deformation process.
4Adaptability or versatility
If a large number of 3D meshes are created for personalization, then adaptability is improved, but loss of time and computational resources increase
Solution Approach 1:
The patent segments the HR filter generation process into reusable components: a base 3D mesh template, landmark identification algorithms, and deformation parameters. By dividing the anatomical model into segmented regions (head, torso, outer ears) with independently controllable deformation parameters, the system can efficiently generate personalized meshes for multiple users by applying different deformation parameters to the same base template, rather than creating entirely new models for each user.
Solution Approach 2:
The patent enables personalization through parameter changes in the 3D mesh deformation process. Instead of creating fundamentally different mesh structures for each user, the system adjusts geometric parameters (such as head size, ear shape, torso dimensions) by deforming a base mesh according to user-specific anatomical measurements. This parameter-based approach allows rapid generation of personalized HR filters while maintaining consistent mesh quality and topology.
Data Source
AI summary
Computing equipment is configured to deform a three-dimensional, 3D, polygonal mesh. The computing equipment extracts, from the 3D polygonal mesh, landmark(s) that form physical feature(s) specified by a landmark extraction specification, e.g., in terms of semantic label(s) of the physical feature(s). Equipped also with a mesh editing specification, the computing equipment determines which extracted landmark(s) form target physical feature(s) that the mesh editing specification indicates are to be deformed. The computing equipment deforms the target physical feature(s) in a way specified by the mesh editing specification by manipulating the determined landmark(s) as handle(s). The computing equipment then edits other part(s) of the 3D polygonal mesh as specified by the mesh editing specification, to account for deformation of the target physical feature(s).