3D Connected Component Extraction for Scene Deduplication
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Solution Overview
Problem
Digital content creation tools face challenges in efficiently rendering and manipulating large, complex 3D scenes due to the storage of duplicative object components and the computational intensity of identifying connected components, leading to memory inefficiencies and increased rendering times.
Innovation Solution
The method involves identifying and grouping connected components within a scene using machine learning systems to segment meshes and apply label propagation algorithms, ensuring each vertex location is unique, and assigning a component ID, thereby reducing memory usage and computational overhead by storing only a single copy of duplicative components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the entire scene or individual objects are defined as singular components, then the scene can be rendered and exported, but the components become large and difficult to render or manipulate, and memory usage increases due to duplicative storage
Solution Approach 1:
The patent segments singular components into smaller connected components by identifying and separating vertices that are spatially close and belong to the same object. This division reduces the size of individual components, making them easier to render and manipulate while maintaining complete scene representation capability.
Solution Approach 2:
The patent creates duplicate vertex representations for connected components that are spatially close, allowing the same geometric data to be referenced multiple times across different components. This copying mechanism reduces memory usage by avoiding duplicative storage of unique vertex data while enabling efficient rendering of large scenes.
2Measurement precision
If complex data structures are used to identify and extract connected components, then connected components can be identified, but the process becomes compute and memory intensive and scales poorly with large or complex scenes
Solution Approach 1:
The patent performs preliminary actions by pre-organizing vertices into candidate groups based on spatial proximity before final connected component identification. This preliminary organization reduces the computational complexity of the subsequent identification process, enabling scalable processing of large scenes while maintaining accurate component separation.
Solution Approach 2:
The patent implements a dynamic, iterative process for identifying connected components that adapts to the complexity of the scene. The method dynamically adjusts processing based on the number and distribution of vertices, allowing efficient handling of both simple and complex scenes by focusing computational resources where needed.
Data Source
AI summary
Approaches presented herein provide systems and methods to identify connected components within an object using an assigned label. The assigned label may be propagated through a number of connected components to identify a number of components having the same assigned label. Index values for the assigned labels may also be identified within a memory buffer to determine a range within the buffer for the connected component and to group and store each of the individual component within a contiguous sequence.