3D Interior Modeling from Photos Using User Constraints
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Solution Overview
Problem
Current three-dimensional modeling tools face challenges in efficiently creating accurate models from photographic images, particularly due to inaccurate camera parameters and high computational requirements, which slow response times and reduce model accuracy.
Innovation Solution
The method involves locking inaccurate camera and geometric parameters, allowing users to input constraints that simplify the photogrammetry process, reducing computational demands, and enabling intuitive interface for texture mapping, while leveraging the accuracy of user-defined geometry and camera positions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If photogrammetry algorithms are used to create three-dimensional models from photographic images, then model accuracy can be improved, but computational requirements and processing time increase significantly
Solution Approach 1:
The system segments the modeling process into distinct phases: initial rapid model generation using simplified algorithms, followed by optional refinement steps. This allows users to obtain quick results when speed is prioritized, while still enabling accurate photogrammetry processing when time permits.
Solution Approach 2:
The system implements partial photogrammetry processing by applying full photogrammetry algorithms only to critical regions or selected images, rather than processing all images with maximum computational intensity. This reduces overall processing time while maintaining adequate model accuracy for most applications.
2Measurement precision
If full photogrammetry processing is applied to all images, then model accuracy improves, but computational resources and complexity increase
Solution Approach 1:
The system applies different processing qualities to different regions or sets of images based on their importance. Critical images that significantly impact model accuracy undergo full photogrammetry processing, while less critical images use simplified processing methods, optimizing the balance between accuracy and computational complexity.
Solution Approach 2:
The system dynamically adjusts photogrammetry processing parameters such as resolution, iteration count, and algorithm complexity based on image characteristics, scene requirements, and available computational resources. This allows the system to maintain adequate accuracy while reducing computational complexity when resources are constrained.
3Measurement precision
If user constraints are required for accurate modeling, then model accuracy improves, but ease of operation decreases
Solution Approach 1:
The system automatically detects and applies constraints from the photographic images themselves, such as vanishing points, horizon lines, and geometric features, without requiring manual user input. This self-constraint capability provides accurate modeling while maintaining ease of operation for users who prefer automated workflows.
Solution Approach 2:
The system provides real-time feedback to users about the quality and accuracy of automatically detected constraints, allowing users to review and adjust constraints as needed. This feedback mechanism helps users understand the system's interpretations and make informed decisions about constraint application, balancing automation with user control.
Data Source
AI summary
Embodiments relate to modeling three-dimensional interiors from photographic images. In a first embodiment, a computer-implemented method creates a three-dimensional model of an interior of a building from a photographic image. Input data is received from a user specifying a floor plan of the interior of the building. A first constraint input by a user indicating that a position on the floor plan corresponds to a position on the three-dimensional model is received. A second constraint input by a user indicating that a position on a photographic image of the interior corresponds to a position on the three-dimensional model is received. Finally, the three-dimensional model and camera parameters representing a camera that took the photographic image of the interior are altered based on the first and second constraints.