Composite Avatar Head Replacement for Accurate Identity Mapping

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Solution Overview

Problem

Conventional avatars generated by humans lack accurate representation of a user's identity and expressions, requiring significant manual work and time, and are prone to errors.

Innovation Solution

A composite avatar is generated by replacing the head of a manually-generated avatar with a machine-generated avatar, trained on three-dimensional scans of human heads, to accurately represent a user's facial features and expressions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a manually-generated avatar is used, then the avatar can be customized and created with artistic control, but the representation accuracy of user identity and expressions is poor

Engineering Contradiction:
Improverepresentation accuracyVSAvoidmanual work requirement
Core Design Contradiction:
Measurement precisionVSEase of manufacture

Solution Approach 1:

The avatar is divided into two distinct parts: a machine-generated head component that provides accurate facial feature representation, and a manually-generated body component that allows artistic customization. This segmentation enables each part to be optimized independently for its specific function.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent merges the machine-generated head with the manually-generated body to create a composite avatar. This combination integrates the strengths of both approaches: automated accuracy in facial representation and human creativity in overall design and customization.

Inventive Principle:
Principle #5Merging (Combining)

2Adaptability or versatility

If a manually-generated avatar is used, then the avatar can be customized, but it requires significant manual work and time

Engineering Contradiction:
Improvecustomization capabilityVSAvoidcreation time
Core Design Contradiction:
Adaptability or versatilityVSLoss of time

Solution Approach 1:

By segmenting the avatar creation process into machine-generated head and manually-generated body, the patent reduces the time required for overall avatar creation. The machine component is generated automatically from user data, while only the body portion requires manual input.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The machine-generated head component serves itself by automatically extracting and representing accurate facial features from user images or scans, eliminating the need for manual sculpting or modeling of the head portion.

Inventive Principle:
Principle #25Self-service

3Reliability

If a manually-generated avatar is used, then the avatar can be created with artistic control, but it is prone to errors in representing user identity

Engineering Contradiction:
Improveidentity representation accuracyVSAvoidcreation process complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent replaces the manual mechanical process of sculpting and modeling the head with an automated machine-learning system that processes images and scans to generate accurate three-dimensional facial representations, eliminating human error in this critical aspect.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The machine-generated head is created as an accurate copy or representation of the user's actual facial features based on input images or scans, ensuring reliable identity representation without the errors that can occur in manual creation.

Inventive Principle:
Principle #26Copying

Data Source

PatentUS20250363702A1Composite avatar
Publication Date: 2025.11.27 MICROSOFT TECHNOLOGY LICENSING LLC
  • US20250363702A1 patent drawing
  • US20250363702A1 patent drawing
  • US20250363702A1 patent drawing

AI summary

Examples are disclosed that relate to generating an avatar of a user that accurately represents an identity of the user. In one example, a manually-generated avatar including a first head connected to a body is received. Image data of a user is received from a camera. A machine-generated avatar of the user is generated, via an avatar machine-learning model, based at least on the image data. The avatar machine-learning model is trained on training data including a plurality of three-dimensional scans of human heads. The machine-generated avatar of the user comprises a second head having facial features that map to actual facial features of the user. A composite avatar of the user is generated by replacing the first head with the second head on the body of the manually-generated avatar. A graphical user interface including the composite avatar is displayed via a display device.