3D Analysis Tool Dynamic Slice Visualization for Point Clouds
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Solution Overview
Problem
Existing methods struggle to effectively analyze and visualize attributes in three-dimensional (3D) images due to the disassociation of attribute analysis from the rendering of 3D objects, particularly when viewing position changes, leading to a lack of direct association between attribute visualizations and the rendered 3D environment.
Innovation Solution
A 3D analysis tool dynamically generates and updates visualizations by selecting data points within a slice defined by the viewing position, mapping attributes to different formats, and presenting them alongside the 3D rendering, ensuring a direct association and retention of plane, depth, and relative positioning information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional static visualization methods are used for 3D image attributes, then the visualization is simple to generate, but the visualization becomes disassociated from the rendered 3D environment when viewing position changes
Solution Approach 1:
The patent implements dynamic visualizations that automatically update when the viewing position changes. The system monitors camera position and orientation changes, then dynamically regenerates attribute visualizations to maintain spatial correspondence with the rendered 3D environment, resolving the contradiction between static simplicity and dynamic association.
Solution Approach 2:
The system establishes a feedback loop where the rendered 3D environment provides information about current viewing position, which then feeds back into the attribute visualization generation process. This ensures visualizations remain associated with the correct portions of the 3D scene despite viewing position changes.
2Measurement precision
If attribute analysis is performed for entire 3D images, then complete coverage is achieved, but the analysis becomes disassociated from specific depth planes and viewing positions
Solution Approach 1:
The patent segments the 3D image analysis into depth-based layers or planes, allowing attribute analysis to be performed on specific depth slices rather than the entire volume. This maintains measurement precision for each plane while preserving depth context through organized layer representation.
Solution Approach 2:
The system adds depth plane information as an additional dimension to the attribute visualization, transforming 2D attribute maps into 3D-aware visualizations that display both attribute values and their corresponding depth plane context simultaneously.
3Reliability
If dynamic updates are implemented to track viewing position changes, then association with 3D rendering is maintained, but processing time and computational load increase
Solution Approach 1:
The system implements partial updates by regenerating attribute visualizations only for the specific depth planes and regions affected by viewing position changes, rather than completely regenerating all visualizations. This reduces processing time while maintaining real-time tracking accuracy for the visible portion of the 3D environment.
Data Source
AI summary
Provided is a three-dimensional (“3D”) analysis tool or device for generating visualizations for attributes in different multi-plane slice of a point cloud or 3D image. The device may receive a point cloud with a plurality of data points that are distributed across a plurality of different planes and that collectively produce a 3D image. The device may select a set of the plurality of data points that are located within a particular slice of the point cloud, may generate a visualization from one or more attributes of the set of data points, and may present the visualization of the one or more attributes for the set of data points in a different format than a rendering of the set of data points.