3D Object Generation for File Representation
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Solution Overview
Problem
Current technologies face challenges in visually representing files in three-dimensional immersive environments for productive applications, as users struggle to create and interact with complex three-dimensional data representations, particularly in generating and displaying meaningful visual cues for files without manual effort.
Innovation Solution
A system and method that utilizes multiple classifiers to classify files based on pre-selected taxonomy tables, automatically generating, deforming, and modifying three-dimensional objects to represent file properties, which are then embedded in a graphical user interface as selection tools, providing visual cues without requiring users to open the files.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If manual creation of three-dimensional file representations is implemented, then visual representation quality is improved, but user effort and time consumption increase
Solution Approach 1:
The system automatically generates three-dimensional file representations by analyzing file properties and metadata without requiring manual user input. The classifiers examine file attributes such as type, size, creation date, and content characteristics to autonomously create appropriate 3D visual representations, eliminating the need for users to manually design or configure these representations.
Solution Approach 2:
The system creates simplified three-dimensional copies or representations of files based on their properties rather than requiring users to create detailed manual models. These generated 3D objects serve as visual proxies that convey essential file information through their geometric characteristics, providing quality visual representation with minimal user effort.
2Loss of information
If complex three-dimensional data representations are created manually, then representation detail is improved, but ease of operation deteriorates
Solution Approach 1:
The system performs automatic classification and generation of detailed three-dimensional representations without requiring user intervention. The classifiers autonomously analyze file properties and generate appropriate 3D models with relevant details, making the process as easy as dragging and dropping files into the system while maintaining high representation detail.
Solution Approach 2:
The system pre-establishes classification rules and taxonomy structures that automatically guide the generation of detailed representations. By preparing the classification framework in advance, the system can immediately generate detailed 3D representations when files are added, eliminating the need for users to manually configure representation details.
3Productivity
If automatic classification systems are implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The classification system is divided into multiple independent classifiers, each responsible for specific file properties such as type, size, date, or content characteristics. This segmentation allows the system to process different file attributes through specialized classifiers and combine their results to generate comprehensive three-dimensional representations, improving productivity while managing complexity through modular design.
Solution Approach 2:
The classification system uses a universal taxonomy framework that can handle diverse file types and properties through a common processing architecture. The same classification infrastructure serves multiple functions including file organization, visual representation generation, and property analysis, improving productivity without proportionally increasing device complexity through multi-functional design.
Data Source
AI summary
Disclosed are a system and method for generating three-dimensional objects to represent files in a three-dimensional environment. A primary classifier classifies stored files into groups based on a first set of properties and generates three-dimensional mesh objects to represent each file. The mesh objects are the same within each group and distinguish the files from group to group. A secondary classifier further classifies each group of files into sub-groups based on a second set of properties and deforms the mesh objects in each sub-group in a particular manner to distinguish files from sub-group to sub-group. Additional classifiers modify the deformed mesh objects to further distinguish files within each sub-group (e.g., by varying the shape, texture, animation, etc.). Each three-dimensional object can then be embedded into a three-dimensional graphical user interface as a selection tool that provides visual cues regarding the contents of a particular file.