Virtual Character Gene Sequence Generation via Segmentation
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Solution Overview
Problem
Current virtual character generation methods lack the ability to create unique and reproducible virtual characters with diverse images, leading to a lack of interest and customization in virtual pet applications.
Innovation Solution
A method and apparatus for generating image parameters for reproducible virtual characters, involving the receipt of a trigger signal, acquisition of generation rules, and generation of gene sequences for characteristic parameters, allowing for unique and inheritable traits based on genetic inheritance rules, stored in a blockchain system for authenticity and transferability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional virtual character generation methods are used, then the generation process is simple, but the virtual characters lack uniqueness and diversity
Solution Approach 1:
The virtual character generation system is segmented into multiple independent gene sequences, where each gene sequence controls specific characteristic parameters (such as appearance, behavior, abilities). This segmentation allows for diverse combinations to create unique characters while keeping each gene module relatively simple and manageable.
Solution Approach 2:
The patent introduces a genetic inheritance dimension to the character generation system. By implementing multi-gene sequences with inheritance rules, the system transforms from simple parameter assignment to a multi-dimensional genetic system that includes dominant/recessive genes, inheritance patterns, and combination rules, thereby achieving greater character diversity.
2Reliability
If gene sequences with inheritance rules are implemented, then virtual characters become reproducible and inheritable, but the system complexity increases
Solution Approach 1:
The patent changes the parameters of the generation system by introducing genetic parameters (dominant/recessive genes, gene sequences, inheritance rules) instead of simple parameter assignment. This allows characters to be reproduced with inherited traits while maintaining systematic control through defined genetic rules.
Solution Approach 2:
The implementation of gene sequences enables copying and inheriting of character traits from parent characters to child characters. The genetic information is copied and transmitted through defined inheritance rules, ensuring reproducibility while allowing for genetic variation through recombination.
3Reliability
If blockchain storage is used for gene sequences, then authenticity and transferability are ensured, but storage and computational requirements increase
Solution Approach 1:
The patent extracts and stores only the essential genetic information (gene sequences) in the blockchain system, rather than storing complete character data. This extraction approach ensures authenticity and transferability of the core inheritable traits while minimizing storage requirements by storing only the genetic parameters needed for character reproduction.
Data Source
AI summary
A method for generating an image parameter for a reproducible virtual character includes: receiving a trigger signal for generating a virtual character; acquiring a generation rule of an image parameter of the virtual character, the image parameter comprising n characteristic parameters configured to indicate an image of the virtual character; and generating a gene sequence of an ith characteristic parameter in the n characteristic parameters according to the generation rule.