Virtual Object Search System with Geometric Compatibility Filtering
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Solution Overview
Problem
Current methods for selecting virtual objects in digital environments fail to account for integration constraints, leading users to struggle in finding suitable objects for available spaces without visualizing compatibility beforehand, often resulting in missed opportunities for alternative object types.
Innovation Solution
A method that defines a virtual zone in a digital environment by geometric data and proximity information, generates a list of compatible virtual objects based on dimensions and context, and filters them for display, allowing users to select objects that fit the defined space and context.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users search for virtual objects by manually selecting from a library, then they can find objects of a specific type, but they cannot discover alternative object types that would be suitable for the available space
Solution Approach 1:
The system performs preliminary analysis of the available virtual zone's geometric characteristics and contextual environment before the user searches for objects. By pre-calculating compatibility between the zone and various object types in the library, the system prepares a curated list of suitable objects, enabling users to discover alternatives they would not have considered through manual searching.
Solution Approach 2:
The system provides feedback to users by displaying a list of virtual objects that are geometrically compatible with the defined zone and contextually appropriate based on surrounding objects. This feedback mechanism guides users toward suitable objects they might not have discovered through traditional keyword-based searching, thereby reducing missed alternatives.
2Ease of operation
If the system displays all virtual objects from the library, then users have complete choices, but users cannot efficiently find objects compatible with the available space
Solution Approach 1:
The system applies local quality filtering by evaluating each virtual object's geometric properties and contextual compatibility specifically against the defined virtual zone. Instead of presenting all objects uniformly, the system tailors the proposal list to match the local characteristics of the target zone, improving search efficiency while maintaining quality Relevance.
Solution Approach 2:
The system changes parameters by filtering virtual objects based on geometric compatibility parameters (dimensions, shape) and contextual parameters (proximity to surrounding objects). This parameter-based filtering reduces the quantity of proposed objects from the entire library to only those that meet the specific criteria, thereby improving efficiency without sacrificing compatibility.
3Measurement precision
If the system considers contextual proximity information, then object selection accuracy improves, but the complexity of the selection process increases
Solution Approach 1:
The system performs preliminary calculation of proximity relationships between the virtual zone and surrounding objects before the selection process. By pre-determining contextual constraints based on the positions and types of nearby objects, the system simplifies the subsequent selection process while maintaining high precision in compatibility assessment.
4Loss of information
If users must know integration constraints before searching, then they can make informed selections, but users cannot visualize compatibility in advance
Solution Approach 1:
The system provides feedback to users by automatically analyzing the virtual zone's geometric and contextual characteristics and presenting a filtered list of compatible objects. This feedback loop eliminates the need for users to manually know integration constraints beforehand, as the system delivers constraint information implicitly through its selection criteria, maintaining both simplicity and completeness.
Data Source
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AI summary
The invention relates to a method for searching for virtual objects in a virtual object library comprising: ▪ a definition of a virtual area (6); ▪ generation of a data query; ▪ transmission of said query to the library; ▪ extraction of a list of virtual objects; ▪ the display, in a result window (11) of the electronic terminal (20), of virtual objects (13) from said list of virtual objects (L1).