Image Analysis for Determining Individual Characteristics
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Solution Overview
Problem
Current methods lack an efficient and objective way to determine characteristics of individuals, such as humans or animals, for breeding, behavior prediction, and suitability assessment, relying on subjective evaluations and invasive testing.
Innovation Solution
A computational method using digital images and facial descriptor measurements to calculate metrics indicative of characteristics, predicting traits and behaviors by correlating facial features with genetic and hormonal influences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If computational methods using digital images are applied to determine characteristics of individuals, then objectivity and non-invasiveness are improved, but device complexity increases
Solution Approach 1:
The patent replaces subjective human evaluation and invasive physical testing with computational image analysis. Digital images are processed through algorithms that automatically extract facial descriptor measurements and determine individual characteristics, eliminating the need for mechanical intervention or expert subjectivity.
Solution Approach 2:
The system creates digital copies (images) of individuals and analyzes these copies computationally to determine characteristics. This allows non-invasive measurement by working with image representations rather than requiring direct physical interaction with the subjects.
2Loss of time
If facial descriptor measurements are used to predict characteristics, then early diagnosis capability is improved, but measurement precision requirements increase
Solution Approach 1:
The system performs measurements and analyses early in the diagnostic process using readily available digital images. By extracting multiple facial descriptor measurements from standard photographs, the system can predict characteristics and potential developmental disorders before clinical symptoms manifest, enabling early intervention.
Solution Approach 2:
The patent divides the facial analysis into multiple discrete descriptor measurements (distances, ratios, angles between specific facial landmarks). This segmentation allows each measurement to be calculated independently with high precision, and the combined results provide robust predictive capability that compensates for individual measurement variations.
Data Source
AI summary
Embodiments include methods for predicting one or more characteristics of an individual, such as a human or non-human animal, by applying computational methods to image(s) of the individual to generate one or more metrics indicative of the characteristics. Embodiments determine predictors of characteristics by creating a sample library of individuals, determining facial measurements for each individual, determining relationships between facial measurements and additional library data, and selecting predictors from these relationships. Embodiments include methods for predicting characteristics of individuals not in the library. Embodiments include methods for predicting characteristics of groups using predicted characteristics of individuals. Embodiments determine suitability of a pair of individuals (from the same or different species) for a particular purpose, task, or relationship based on characteristics of individuals. Other embodiments determine the compatibility of an individual with a group of other individuals. Embodiments include systems, devices, and computer-readable media comprising one or more of these methods.