Point Cloud Rendering with Distance-Based Visual Graphics
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Solution Overview
Problem
Existing techniques for depicting point clouds are data-intensive and fail to effectively convey information about the source or relevant details of the point clouds, such as branding or user interface capabilities.
Innovation Solution
The method involves rendering point clouds with varying graphics or display characteristics based on distance from the viewpoint, using different features like dots, textures, logos, and animations, and incorporating metadata to display branded information or user interface capabilities, with the ability to change appearances as the viewpoint changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all points in the point cloud are rendered with detailed graphics and textures, then the visual quality and information conveyed about the point cloud source is improved, but the computational resources and data intensity increase significantly
Solution Approach 1:
The patent applies local quality by rendering different portions of the point cloud with different levels of detail based on their spatial relationship to the viewpoint. Specifically, points closer to the viewpoint are rendered with detailed graphics, textures, and branding elements, while distant points are rendered with simpler graphics. This selective rendering approach conveys source information where most needed while reducing overall computational burden.
Solution Approach 2:
The patent segments the point cloud rendering into multiple distance-based zones relative to the viewpoint. By dividing the point cloud into near, intermediate, and far regions, the system applies different rendering strategies to each segment, with detailed rendering for close points and simplified rendering for distant points, thereby balancing information conveyance with computational efficiency.
2Illumination intensity
If detailed graphics and textures are used for all points, then the visual quality is improved, but the data transmission and processing requirements increase
Solution Approach 1:
The patent implements local quality by applying high-detail graphics, textures, and branding elements only to points in close proximity to the viewpoint, while using simplified graphics for distant points. This localized application of visual quality reduces the overall data transmission and processing requirements while maintaining high visual quality where it matters most for user perception.
3Loss of information
If complex rendering with branding and textures is applied to all points, then the information about source and capabilities is conveyed, but the processing time and energy consumption increase
Solution Approach 1:
The patent applies branding information, textures, and complex rendering features locally to only those points that are close to the viewpoint and most likely to be perceived by the user. This selective application ensures that branding and source information are conveyed effectively while minimizing the processing energy required, as distant points receive simplified rendering without branding elements.
Solution Approach 2:
The patent employs dynamic rendering that adapts to the user's viewpoint position and orientation. As the user moves or rotates the viewpoint, the set of points rendered with detailed branding and textures dynamically changes based on their new spatial relationships to the viewpoint. This dynamic approach ensures branding information is always conveyed for visible points while optimizing processing energy based on the current view.
Data Source
AI summary
Various implementations disclosed herein provide views of point clouds with individual points rendered using different visual graphics.