Infinitely Scalable Point Clouds from 3D Mesh Models Without Zoom Distortion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing techniques for converting 3D mesh models into point clouds result in sparse representations with lower resolution than the original models, leading to blurry or blocky visualizations when zoomed in.
Innovation Solution
Convert individual polygons of a 3D mesh model into an infinite number of discrete points, applying enhancement maps to these points to maintain or increase resolution, thereby preserving the polygon's form and eliminating distortions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If polygons are converted to points using existing techniques, then the representation becomes simpler, but the resolution decreases and visual quality deteriorates
Solution Approach 1:
The patent segments each polygon into multiple discrete points while preserving the polygon's surface properties. By dividing the polygon into a grid of points (e.g., 5x5, 10x10, or more), the representation maintains simplicity as points rather than complex polygons, while simultaneously increasing resolution through the multiple points that define the same surface area.
Solution Approach 2:
The patent changes the parameter of point density within the polygon representation. By adjusting the number of points generated per polygon (through parameters like grid resolution or point spacing), the system can dynamically control the balance between simplicity and resolution, achieving high resolution without sacrificing the point-based simple representation.
2Manufacturing precision
If the number of points per polygon is increased to improve resolution, then visual quality improves, but the quantity of data increases
Solution Approach 1:
The patent applies local quality by generating a fixed number of points per polygon based on the polygon's area and desired resolution. Each polygon receives an appropriate number of points (e.g., 25 points for a 5x5 grid) that is locally optimized for its size and shape, rather than uniformly distributing points across the entire mesh. This maintains high resolution while controlling the total number of points.
Solution Approach 2:
The patent uses partial action by generating only the necessary number of points per polygon to achieve the desired resolution, rather than excessively point-generating. The system calculates the optimal number of points based on the polygon's area and the target resolution, avoiding unnecessary points while ensuring sufficient detail for high-quality visualization.
3Manufacturing precision
If displacement mapping is applied to polygons, then visual quality improves, but distortions occur when zoomed in
Solution Approach 1:
The patent segments the displacement mapping into individual point displacements. Instead of applying displacement to the entire polygon as a single operation, the system calculates and applies displacement independently to each point within the polygon. This segmentation eliminates geometric distortions because each point maintains its correct position relative to the others, even when zoomed in, while still achieving the desired visual quality through the cumulative effect of all point displacements.
Data Source
AI summary
A modeling system converts polygons of a three-dimensional (3D) mesh model to points of a point cloud in an automated manner that increases the resolution and visual fidelity of the point cloud relative to the 3D mesh model. The system receives the polygons of the 3D mesh model, and generates points over the flat plane of each polygon according to a density and arrangement that increases the resolution of the points relative to the original polygon. The system receives an enhancement map with values for displacing the polygons of the 3D mesh model. The system displaces the generated points by mapping the values from positions in the enhancement map to corresponding positions of the generated points. The system generates the point cloud with the displaced points to provide improved visual quality and detail relative to the polygons of the 3D mesh model after enhancement with the enhancement map.