Light Source Modeling via Surface Tessellation and Data Projection
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Solution Overview
Problem
Existing methods for modeling light sources in 3D environments face challenges such as overlap and positioning issues between light source models and geometry, limited consideration of light reflection, and high data processing volumes, which reduce modeling dynamics and allow only limited light reflection properties.
Innovation Solution
A computer-implemented method that receives input data on light source characteristics and geometric data to create a data model representing the light source, linking material and light emission characteristics to volumes and surfaces, allowing for accurate simulation of light reflection and reducing data processing volume through surface tessellation and data projection algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If geometric data defining multiple surfaces is used to locally reconstruct the light field, then the light source modeling becomes more complete, but interpolation and overlap problems appear between viewpoints
Solution Approach 1:
The light source model is divided into multiple independent surfaces, each with its own light field data. This segmentation allows each surface to be processed independently, eliminating interpolation and overlap problems between viewpoints while maintaining complete light field reconstruction for each segmented surface.
2Adaptability or versatility
If BRDF modeling is added for each direction of the light source, then light reflection is better considered, but the data volume to be processed becomes very high and modeling dynamics are reduced
Solution Approach 1:
The BRDF modeling complexity is extracted and separated from the main light source model. Only essential reflection properties are retained in the data model, while detailed directional BRDF information is processed separately or approximated, reducing the overall data volume and improving modeling dynamics while preserving key light reflection capabilities.
3Ease of operation
If images from the source model are overlaid on 3D geometry, then the light source can be visualized, but overlap and positioning problems occur between the source model and geometry
Solution Approach 1:
The light source model is transformed from a 2D image-based representation to a 3D surface-based representation that exists in the same spatial dimension as the target geometry. This dimensional transformation enables proper spatial positioning and eliminates overlap problems by allowing the light source to be correctly placed in 3D space relative to the geometry it illuminates.
Data Source
AI summary
The invention relates to a computer-implemented (3) method for modeling at least one light source, comprising: a step of receiving input data (22) comprising data (24) of characteristics of materials forming the light source; and a step of creating, from data (24) of characteristics of the received materials, as well as geometric data (14) and data (26) of characteristics of light emission from the light source, a data model (16) representing the light source, said geometric data (14) describing the light source, and defining a plurality of volumes and surfaces; wherein, during the creation of the data model: the data (24) of characteristics of the materials is linked to the volumes and surfaces of the geometric data (14), and the data (26) of characteristics of light emission from the light source is linked to the surfaces of the geometric data (14); and a step of storing the data model (16) in the computer (3).