Avatar Personalization Engine Using Delta Computation
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Solution Overview
Problem
Existing avatar personalization systems are time-consuming, labor-intensive, and fail to accurately resemble users, relying on manual selection and designer intuition without utilizing average person models or deltas between user and average models.
Innovation Solution
An avatar personalization engine generates personalized avatars by creating a user model, computing a delta with an average person model, and applying this delta to a generic avatar model, incorporating additional user characteristics like hairstyle and accessories, using machine learning and algorithmic techniques for efficient and accurate customization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual selection and designer intuition are used for avatar personalization, then customization capability is provided, but the process becomes time-consuming and labor-intensive
Solution Approach 1:
The patent replaces manual mechanical processes (designer selection and customization) with an automated computerized system. The avatar personalization engine automatically generates personalized avatars by computing deltas between user models and average person models, eliminating the need for manual designer intervention and significantly reducing time consumption.
Solution Approach 2:
The system enables self-service avatar personalization where the computerized avatar generation system automatically performs the personalization task without requiring manual designer input. The engine independently computes user characteristics, generates deltas, and applies them to avatar templates, making the process autonomous and efficient.
2Ease of operation
If manual designer techniques are used for avatar creation, then customization is achievable, but manufacturing precision and accuracy in resembling users is insufficient
Solution Approach 1:
The patent replaces subjective manual designer techniques with objective computerized analysis. The system uses automated image processing and delta computation to precisely measure and replicate user characteristics, ensuring high accuracy in avatar resemblance without relying on designer intuition.
Solution Approach 2:
The system incorporates feedback mechanisms where user images are analyzed, deltas are computed against average models, and the results are applied to generate personalized avatars. This closed-loop process ensures continuous refinement and high precision in capturing user characteristics.
3Productivity
If computerized avatar generation with delta computation is implemented, then productivity and accuracy are improved, but device complexity increases
Solution Approach 1:
The patent segments the avatar generation process into distinct modular components: user model creation, average person model creation, delta computation, and avatar generation. This segmentation allows each component to be independently optimized and managed, reducing overall system complexity while maintaining high productivity.
Solution Approach 2:
The avatar personalization engine serves multiple functions within a single system: it creates user models, generates average models, computes deltas, and produces personalized avatars. This multi-functionality consolidates what could be separate complex systems into one unified engine, managing complexity while enhancing productivity.
Data Source
AI summary
An avatar personalization engine can generate personalized avatars for a user by creating a 3D user model based on one or more images of the user. The avatar personalization engine can compute a delta between the 3D user model and an average person model, which is a model created based on the average measurements from multiple people. The avatar personalization engine can then apply the delta to a generic avatar model by changing measurements of particular features of the generic avatar model by amounts specified for corresponding features identified in the delta. This personalizes the generic avatar model to resemble the user. Additional features matching characteristics of the user can be added to further personalize the avatar model, such as a hairstyle, eyebrow geometry, facial hair, glasses, etc.


