Digital Image and Point Cloud Selection for Precise 3D Coordinates
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for selecting space coordinates from digital images suffer from imprecision, particularly when pixels are close together but correspond to significantly different spatial distances, and current computing and data transfer resources are inadequate for fluid visualization of detailed three-dimensional spaces.
Innovation Solution
A method and device that combines a digital image with a point cloud, providing approximated space coordinates through a supplementary view that displays a limited three-dimensional environment, allowing precise selection of space coordinates using a point cloud's exact measurements, reducing computational load by only visualizing a localized area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a digital image is used to select space coordinates, then the visualization is simple and realistic, but the precision is insufficient because pixels close together may correspond to significantly different spatial distances
Solution Approach 1:
The patent combines a digital image (for realistic visualization) with a point cloud (for precise measurement) into a hybrid system. The digital image provides intuitive visual representation while the point cloud provides accurate spatial coordinates. By merging these two data structures and allowing users to switch between them or use them complementarily, the system achieves both visualization quality and measurement precision without excessive complexity.
Solution Approach 2:
The patent introduces an intermediary layer that maps between the digital image coordinate system and the point cloud coordinate system. This intermediary enables accurate translation between the visual representation and the measurement data, allowing users to select precise space coordinates by referencing both the image and the point cloud simultaneously, thereby resolving the precision issue without requiring a completely complex system.
2Measurement precision
If a complete three-dimensional space is visualized in detail, then the spatial perception is accurate, but the computational resources and data transfer capacity become insufficient for fluid visualization
Solution Approach 1:
The patent segments the three-dimensional space into a limited local environment around the point of interest, rather than visualizing the entire space at once. By focusing computational resources only on the relevant local area where the user is currently interested (indicated by the digital image view), the system achieves accurate spatial perception for the critical region while significantly reducing overall computational energy consumption and data transfer requirements.
Solution Approach 2:
The patent applies different levels of detail and computational quality to different regions of the three-dimensional space. The local environment around the point of interest is visualized with high detail and computational accuracy, while the rest of the space can be represented more coarsely or not at all. This local quality approach maintains spatial perception accuracy where it matters most while optimizing computational resource usage.
3Quantity of substance
If pixels are displayed close together in a digital image, then the image resolution is high, but the corresponding space coordinates become difficult to distinguish and select accurately
Solution Approach 1:
The patent adds another dimension to the selection process by introducing the point cloud as a separate spatial reference layer. Instead of relying solely on pixel proximity in the two-dimensional image, the system uses the three-dimensional point cloud coordinates to provide accurate spatial differentiation. Users can reference both the image (for visual identification) and the point cloud (for precise spatial measurement), effectively adding a dimensional layer that resolves the distinguishability problem.
Data Source
AI summary
A device and method for precise selection of a space coordinate by means of a digital image. A digital image of surface elements in a three-dimensional space and a point cloud are provided, with space coordinates allocated to the points which form the point cloud, and surface elements allocated to the points in the three-dimensional space. The surface elements in the three-dimensional space are visualised by a first display. A pixel of the digital image is tagged, and approximated space coordinates for the tagged pixel are determined, which correspond to the surface element visualised by the tagged pixel in three-dimensional space. Subsequently, a supplementary view is superimposed, which displays the points of the point cloud located within a limited three-dimensional environment of the approximate space coordinates determined for the tagged pixel in a second display. Finally, a point of the point cloud is selected in the supplementary view.