3D User-Space Alignment for Shared Metaverse Editing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies fail to create a meta-space that allows multiple users to interact and edit 3D virtual spaces in conformity with their individual environments and conditions, without requiring physical space movement, and do not effectively integrate real-world objects into shared virtual spaces.
Innovation Solution
A meta-space generation method and apparatus that aligns user space images with shared spaces based on structural features and background similarity, allowing real-time interaction and editing, using big data to map and integrate user spaces into a meta-space for shared use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple users create individual 3D virtual spaces based on their own environments, then each user's personal space accuracy is improved, but the complexity of integrating these spaces into a shared meta-space increases
Solution Approach 1:
The patent implements a universal coordinate system that serves multiple functions: it acts as a common reference frame for all user spaces, enables transformation between local and global coordinates, and facilitates both individual space creation and collective meta-space integration. This universal framework allows the system to handle diverse user environments without requiring separate integration methods for each case.
Solution Approach 2:
The patent introduces an intermediary alignment mechanism that mediates between individual user spaces and the global meta-space. This intermediary system uses background image matching and feature point detection to automatically align user spaces with the coordinate system, reducing the complexity of direct integration while maintaining high precision for both individual and collective spaces.
2Adaptability or versatility
If real-time interaction and editing are enabled in meta-space, then user collaboration capability is improved, but the computational load and processing time increase
Solution Approach 1:
The patent performs preliminary actions by pre-processing user space images to extract key feature points and pre-aligning them with the coordinate system before real-time interaction begins. This preliminary preparation reduces the computational burden during real-time collaboration, as the system only needs to handle incremental updates rather than full processing of all spatial data.
Solution Approach 2:
The patent segments the meta-space into individual user space regions, allowing independent processing and rendering of each user's contribution. This segmentation enables parallel computation where multiple user spaces can be processed simultaneously, reducing overall computational load while maintaining real-time interaction capabilities across the entire meta-space.
3Measurement precision
If background images are used for space alignment, then alignment accuracy is improved, but the requirement for image quality and processing complexity worsens
Solution Approach 1:
The patent implements a self-service alignment mechanism where the system automatically detects feature points and performs alignment without requiring manual intervention. The background image matching algorithm autonomously identifies corresponding features between user spaces and the coordinate system, and the system self-adjusts transformation parameters to achieve optimal alignment, reducing both processing difficulty and improving accuracy.
Data Source
AI summary
Disclosed herein are a meta-space generation method based on user space alignment in metaverse and an apparatus for the same. The meta-space generation method is performed by a meta-space generation apparatus and includes generating a user space having a three-dimensional (3D) virtual space form based on a user space image captured through a user terminal, analyzing a structural feature of the user space in consideration of a background and objects that constitute the user space, searching for a mutually shareable space that satisfies alignment conditions in which the structural feature is taken into consideration based on user space data of other users registered in a user space database, and generating a meta-space that is mutually shareable with other users in metaverse by aligning the user space to the mutually shareable space.