Partial UV Mapping for Real-Time 3D Image Application
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Solution Overview
Problem
Current methods for applying a two-dimensional image to a three-dimensional model are computationally expensive and require significant user intervention, leading to delays in rendering and inability to move the image in real-time due to high processing requirements.
Innovation Solution
A method that extracts UV-coordinates for a specific area of the three-dimensional model, reducing computational power by avoiding full UV-mapping, allowing real-time application and movement of the two-dimensional image, and using a membrane to smooth over gaps for a more realistic application.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional UV-mapping of the entire three-dimensional model is performed, then the two-dimensional image can be applied to the model, but the computational power required is excessive and rendering is delayed
Solution Approach 1:
The patent divides the three-dimensional model into multiple regions and performs UV-mapping only for the specific region where the two-dimensional image needs to be applied, rather than mapping the entire model. This segmentation approach significantly reduces computational requirements while maintaining image application accuracy for the target area.
Solution Approach 2:
The patent extracts and processes only the necessary UV coordinates for the specific target area on the three-dimensional model, separating this localized processing from the full-model UV-mapping operation. This extraction of only the required computational elements reduces processing time while preserving the necessary precision for image application.
2Manufacturing precision
If full UV-mapping is performed to ensure correct image application, then image placement accuracy is improved, but user intervention is required and real-time movement is prevented
Solution Approach 1:
By segmenting the UV-mapping process to only cover the relevant portion of the model where the label will be applied, the system eliminates the need for complete model processing. This enables real-time interaction and image movement while maintaining sufficient placement accuracy for the specific target area.
Solution Approach 2:
The patent applies partial UV-mapping only to the extent necessary for the label application area, avoiding excessive processing of the entire model. This partial action approach provides sufficient precision for label placement while enabling real-time manipulation by reducing computational overhead.
3Area of stationary object
If the two-dimensional image is applied to the entire three-dimensional model, then complete coverage is achieved, but the processing requirements exceed available processing power
Solution Approach 1:
The patent segments the image application process to focus only on the specific target area on the three-dimensional model rather than applying images to the entire model surface. This segmentation reduces the total area requiring high-power processing while maintaining appropriate coverage for the intended application region.
Solution Approach 2:
The patent applies local quality by providing high-resolution, accurate UV-mapping only in the specific region where the two-dimensional image needs to be applied, rather than uniformly processing the entire model. This concentrates processing power where needed while reducing overall computational requirements.
Data Source
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AI summary
A method and apparatus are provided for applying a two-dimensional image on a three- dimensional model, the three-dimensional model composed of a polygonal mesh. The method comprises the steps of generating an adjacency structure for all triangles within the polygon mesh, identifying a triangle within membrane containing the desired centre point of the label, calculating spatial distances between the three vertices of the triangle and desired centre point of the label; checking each triangle edge to see if the calculated distances show an intersection on the two-dimensional image, if a collision is detected add the neighbouring triangle to the list of triangles to process and iteratively processing all the triangles in the list until the list is empty; calculate the spatial data of the single unknown vertex within the triangle, check the two edges of the triangle to see if the calculated distances show an intersection with the two-dimensional image, if an intersection occurs add this new triangle neighbour to the triangle list; transforming the points and spatial data into UV-coordinates; and applying the two-dimensional image to the three-dimensional model using the UV-coordinates. Transforming the points and spatial data into UV-coordinates; and applying the two- dimensional image to the three-dimensional model using the UV-coordinates.