Selective Image Compositing Using Minimal 3D Models for Photorealism
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Solution Overview
Problem
Generating a complete 3D model of a physical structure for augmenting or modifying portions of it is resource-intensive and can result in lower visual fidelity due to the lack of contextual information and differences between rendering environments, leading to unrealistic modifications.
Innovation Solution
A computer-implemented method that generates a reference 3D model with minimal geometric data from a 2D image, applies synthetic image data, and recreates scene effects to produce a photorealistic image, using techniques like image segmentation, light source estimation, and ray tracing to align the 3D model with the original image's context.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a complete 3D model is generated for augmenting a physical structure, then the structural features can be accurately represented, but processing resources are excessively consumed and rendering time increases
Solution Approach 1:
The patent segments the physical structure into multiple facets, where each facet is represented by a simplified 3D geometric shape with associated texture data. This segmentation allows selective processing of only the portions of the structure that need augmentation, rather than generating and processing a complete high-fidelity 3D model of the entire structure.
Solution Approach 2:
The patent applies partial action by generating simplified 3D representations only for the specific facets that require augmentation. The system identifies target facets in the 2D image and creates corresponding 3D geometric models only for those regions, leaving the rest of the structure represented by the original 2D image or minimal placeholder geometry.
2Quantity of substance
If a complete 3D model is generated from external image sources, then spatial data is enhanced, but visual fidelity decreases due to rendering environment differences and loss of contextual information
Solution Approach 1:
The patent uses the original 2D image as an intermediary between the simplified 3D geometric model and the final augmented image. The 3D model provides spatial structure and positioning information, while the original 2D image preserves lighting, color, texture, and contextual information. These are combined through compositing techniques that blend the synthetic 3D elements with the original image, maintaining visual fidelity while adding spatial enhancement.
3Ease of manufacture
If synthetic image data is applied to a 3D model without scene effect recreation, then processing is simpler, but the augmented portions appear unrealistic and inconsistent with the original image
Solution Approach 1:
The patent analyzes the original 2D image to extract scene parameters including lighting direction and intensity, shadow characteristics, color temperature, and atmospheric conditions. These parameters are then applied to the synthetic image data and 3D geometric models to match the original scene's visual properties. This ensures that augmented portions blend realistically with the original image while maintaining the simplicity of using pre-generated synthetic assets.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach reduces processing burden and enhances visual fidelity by creating a photorealistic image that accurately reflects the original structure with added synthetic elements, maintaining the scene's lighting and aesthetic consistency.
Implementation Method 1
applying a scene effect to the synthetic image data to create a photorealistic effect
Implementation Method 2
techniques like image segmentation, light source estimation, and ray tracing to align the 3D model with the original image's context
Implementation Method 3
techniques like image segmentation, light source estimation, and ray tracing to align the 3D model with the original image's context
Data Source
AI summary
Disclosed are techniques for generating a photorealistic image by augmenting or compositing at least a portion of a physical structure (e.g., a house) depicted in a two-dimensional (2D) image with synthetic image data. Additionally, disclosed are techniques for augmenting the depicted physical structure and applying a scene effect to the synthetic image data to create a photorealistic effect.