Avatar Accessory Generation via Subject Image Recognition
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Solution Overview
Problem
Existing image communication systems struggle to generate accessory images that are distinct and unique for users, often resulting in similar accessory choices when based on user attributes, which can lead to a lack of individuality in avatars or characters displayed on networks.
Innovation Solution
An image communication system that includes a terminal device and a management device, capable of capturing and recognizing distinguishing images from subjects, generating accessory images based on these images, and combining them with base images to create composite images, thereby ensuring high distinctiveness and preventing duplicate accessory generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If accessories are selected from predetermined accessories based on user attributes, then the distinctiveness of avatars is improved, but accessories tend to be similar among people with similar user attributes
Solution Approach 1:
The accessory image is segmented into a base image and a distinguishing image. The base image provides the general accessory structure, while the distinguishing image (extracted from captured images of subjects) provides unique individual characteristics. This segmentation allows combining standardized elements with unique elements to achieve both efficiency and distinctiveness.
Solution Approach 2:
The patent applies local quality by using a distinguishing image that captures specific local characteristics of a subject (such as facial features, expressions, or other unique traits) and superimposes it on the base accessory image. This ensures that only the critical distinguishing features are highlighted while maintaining the overall accessory structure.
2Measurement precision
If a predetermined test is performed to determine user attributes for automatic avatar generation, then the distinctiveness of avatar is improved, but the complexity of the process increases
Solution Approach 1:
The system uses the subject themselves as the source of distinguishing characteristics. By capturing images of the subject and extracting their inherent features, the system eliminates the need for external tests or questionnaires. The subject's own visual characteristics automatically provide the distinguishing information needed for avatar personalization.
Solution Approach 2:
The distinguishing image is extracted and stored in advance from captured images of the subject. This preliminary extraction of distinguishing features allows the system to quickly generate personalized accessories without performing tests at the time of avatar creation, thus reducing process complexity while maintaining distinctiveness.
3Productivity
If accessories are generated automatically based on user attributes, then the productivity of avatar generation is improved, but accessories may become similar among people with similar attributes
Solution Approach 1:
The accessory image is segmented into a base image and a distinguishing image. The base image provides the general accessory structure, while the distinguishing image (extracted from captured images of subjects) provides unique individual characteristics. This segmentation allows combining standardized elements with unique elements to achieve both efficiency and distinctiveness.
Solution Approach 2:
The patent uses copying by extracting and reproducing the subject's actual visual characteristics from captured images. Instead of generating accessories from scratch based on attribute categories, the system copies real distinguishing features directly from images of the subject, ensuring authenticity and uniqueness while maintaining automation.
Data Source
AI summary
In an image communication system of the present invention, the transmission and reception of images are performed between a mobile phone, which combines a base image (character) with an accessory image and displays the composite image, and a server device via a communication network. When an image of a subject is captured by an imaging section, the mobile phone recognizes the subject in the captured image as an image for distinguishing a character. Subsequently, the server device generates an accessory image based on the recognized distinguishing image. Then, the mobile phone combines the generated accessory image with the base image (character), and displays the composite image.