3D Coordinate Extraction From Enhanced 2D Images
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Solution Overview
Problem
Existing methods for accessing 3D data from 2D images require high-performance hardware, lengthy loading times, and complex navigation controls, limiting accessibility and security, especially for casual users.
Innovation Solution
Generate an enhanced 2D image dataset from a 3D model that includes a 2D display image, depth map, model view transformation matrix, and projection matrix, allowing users to calculate 3D coordinates of a selected pixel using lower-end hardware and web browsers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional 3D rendering applications are used to access 3D data, then measurement precision and data security are improved, but device complexity and hardware requirements increase
Solution Approach 1:
The patent extracts the essential 3D coordinate calculation functionality from complex rendering applications by providing a standalone method that uses only basic image processing and mathematical transformations. The system separates the 3D coordinate derivation logic from the full rendering pipeline, allowing users to obtain precise 3D coordinates without requiring sophisticated rendering software.
Solution Approach 2:
The patent creates a simplified copy of the 3D coordinate extraction process that replicates the essential functionality of rendering applications using only basic image processing. By copying and adapting the core mathematical transformations (projection matrix inversion, model-view matrix application) needed for 3D coordinate calculation, the system achieves measurement precision comparable to full rendering applications while using minimal computational resources.
2Measurement precision
If traditional 3D rendering applications are used, then 3D data access capability is improved, but ease of operation and accessibility are worsened
Solution Approach 1:
The patent employs lightweight, disposable computational objects that can be executed in simple web browsers without requiring installation of complex rendering applications. The method uses basic image processing libraries and mathematical computations that are readily available in standard browser environments, making 3D coordinate calculation accessible to casual users with minimal technical knowledge.
Solution Approach 2:
The patent creates a universal solution that works across multiple platforms and devices by implementing 3D coordinate calculation in web-compatible formats. The method can be executed in any modern web browser regardless of operating system or hardware specifications, providing broad accessibility while maintaining measurement precision through standardized mathematical transformations.
3Measurement precision
If high-performance hardware is used for 3D rendering, then measurement precision is improved, but loss of time during loading and setup increases
Solution Approach 1:
The patent performs preliminary calculations by pre-computing and storing the projection matrix and model-view transformation matrix from the 3D rendering process. These pre-computed matrices are then used in the simplified method to rapidly calculate 3D coordinates without requiring time-consuming real-time rendering operations, significantly reducing loading and setup time while maintaining measurement precision.
Solution Approach 2:
The patent applies partial action by implementing only the specific portion of the rendering pipeline needed for 3D coordinate calculation - namely, the projection and model-view transformations - while omitting all other rendering operations. This selective approach achieves the necessary measurement precision without the computational overhead of full 3D rendering, thereby reducing processing time.
Data Source
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AI summary
A method for digital image display and interaction includes receiving an enhanced two-dimensional (2D) image comprising an image dataset derived from a digital object representation that includes spatial data representing a three-dimensional (3D) model of an object. A 2D display image included in the image dataset is displayed that depicts the object from a virtual camera location. User input is received associated with a selected pixel in the 2D display image having image-space coordinates within the enhanced 2D image. Based at least in part on the image-space coordinates of the selected pixel, a depth value for the selected pixel, a model view transformation matrix, and a projection matrix included in the image dataset, 3D object-space coordinates are calculated of a selected point on the object corresponding to the selected pixel. The 3D object-space coordinates of the selected point are displayed.