Automatic Rigid Stabilization of Facial Expressions Using Subject-Specific Skull
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Solution Overview
Problem
Current manual processes for rigid stabilization of facial expressions in facial scanning are tedious, error-prone, and time-consuming, leading to inaccurate results, especially when capturing digital doubles for media works, as they fail to effectively separate true expression deformations from unwanted rigid head movement.
Innovation Solution
An automatic rigid stabilization method that uses a subject-specific skull representation, generated by deforming a generic skull representation using facial landmarks and anatomically-motivated constraints, to align and stabilize facial expressions, allowing for quick and accurate extraction of pure facial expressions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual processes are used for rigid stabilization of facial expressions, then some level of stabilization can be achieved, but the process becomes tedious, error-prone, and time-consuming
Solution Approach 1:
The patent replaces manual mechanical adjustment processes with an automated computer-implemented method. The system automatically performs rigid stabilization by obtaining facial expression data, generating a subject-specific skull representation, and fitting the skull model to stabilize expressions, eliminating the need for tedious manual operations while improving accuracy and reducing time requirements
Solution Approach 2:
The system enables self-service stabilization by automatically processing facial expression data without requiring manual intervention. The computer-implemented method autonomously generates skull representations, performs fitting operations, and produces stabilized facial expressions, allowing the process to serve itself without human operators
2Productivity
If manual processes are used for rigid stabilization, then some stabilization is achieved, but the results become inaccurate due to human error
Solution Approach 1:
The patent replaces manual stabilization processes with an automated computer-implemented system that consistently applies the same algorithmic operations. This substitution eliminates human variability and error, producing reliable and consistent results across different facial expressions and subjects while maintaining high productivity
3Productivity
If automated methods are implemented for rigid stabilization, then speed and consistency improve, but complexity of the system increases
Solution Approach 1:
The patent segments the stabilization process into distinct computational steps: obtaining facial expression data, generating a subject-specific skull representation, and fitting the skull model to expressions. This segmentation allows each step to be independently optimized and executed, improving overall speed while managing system complexity through modular design
Solution Approach 2:
The system manages complexity by dynamically adjusting parameters during the fitting process, such as optimizing the alignment between the skull representation and facial expressions. By automatically managing parameter changes through computational algorithms, the system achieves high speed and consistency without requiring complex manual configuration
Data Source
AI summary
Systems and techniques for performing automatic rigid stabilization of facial expressions are provided. The systems and techniques may include obtaining one or more shapes, the one or more shapes including one or more facial expressions of a subject. The systems and techniques may further include generating a subject-specific skull representation, and performing rigid stabilization of the one or more facial expressions by fitting the subject-specific skull with the one or more facial expressions of the subject.