Photo Composite Generation Using Genetic Community Alignment
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Solution Overview
Problem
Current genealogical research services lack the ability to generate photo composites based on family, ancestry, and genetic relatedness for historical, current, and yet-to-be-born individuals, and they do not effectively predict traits or DNA-specific details from combined photos and genealogical information.
Innovation Solution
The system generates photo composites by identifying and transforming relevant photos from a network of genealogical trees, filtering and cropping them based on predetermined criteria, and aligning them to create a composite image that represents a group or individual based on genetic and genealogical data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If photo composites are generated using average of multiple face images, then visual representation of ancestral heritage is improved, but ability to represent specific genetic community characteristics deteriorates
Solution Approach 1:
The patent segments the photo composite generation process into multiple stages: first generating an average face from photos of the same ethnicity, then blending this average face with a target user's photo. This segmentation allows the system to preserve both the ancestral heritage characteristics (through the average face) and the specific genetic community traits (through the blending process with user-specific photos), resolving the contradiction between representing general ancestry and maintaining precise community characteristics.
2Reliability
If manual content creation for genetic communities is performed by historians, then accuracy of historical content is improved, but time and resource consumption deteriorates
Solution Approach 1:
The patent implements self-service by enabling the system to automatically generate photo composites and historical content for genetic communities without requiring manual intervention from historians. The system uses algorithms to identify photos of the same ethnicity, generate average faces, and create visual representations of ancestral heritage automatically. This automation dramatically reduces the time and resources required while maintaining reliability through consistent application of the generation criteria and use of actual historical photos from the database.
3Loss of information
If photo composites are generated for historical persons, then user connection to origins is improved, but availability of source photos deteriorates
Solution Approach 1:
The patent introduces an intermediary approach by generating an average face that serves as a mediator between the limited available photos and the user's need to connect with ancestral origins. When photos of specific historical ancestors are unavailable, the system creates an average face from photos of the same ethnicity and time period, which then serves as a representative visual connection to that ancestral group. This intermediary solution allows users to connect to their origins even when direct photos of specific ancestors are missing from the database.
Data Source
AI summary
Systems, methods, and/or computer-program products for generating a photo composite are configured to identify a facial photo, assign a community such as a genetic community to the identified facial photo, select and retrieve a subset of photos from a genetic community, determine a landmark in each photo of the subset of photos, compute and apply a similarity transform to each photo based and its landmarks, update estimates of transformed averaged landmarks, calculate a triangularization of the transformed averaged landmarks, warp images to the average image landmarks, and combine the intensities of the warped images. The communities are identified from genetic information. The facial photos are identified from a network of genealogical trees and/or a collection of historical records.