Enhanced 2D Image Depth Mapping for 3D Object Coordinate Access
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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 software setups, limiting accessibility and security, especially for casual users.
Innovation Solution
Generate an enhanced 2D image dataset that includes a 2D display image, depth map, model view transformation matrix, and projection matrix, allowing users to calculate 3D coordinates from user input on the 2D image without needing specialized rendering applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional 3D rendering applications are used to access 3D data, then measurement precision and reliability are improved, but device complexity and ease of operation deteriorate due to high-performance hardware requirements and complex software setups
Solution Approach 1:
The patent creates a simplified 2D representation that copies essential 3D spatial information through depth maps and projection matrices. Instead of requiring full 3D rendering capabilities, the system copies the necessary depth and coordinate data into a 2D image format that can be processed by standard devices, resolving the contradiction between measurement precision and device complexity
Solution Approach 2:
The patent extracts only the essential 3D information (depth values, projection matrices, model view transformation matrices) from complex 3D models and embeds them into 2D images. This extraction allows 3D coordinate calculation without requiring full 3D rendering applications, reducing hardware and software complexity while maintaining measurement precision
2Ease of operation
If traditional 3D rendering applications are used, then 3D data accessibility is improved, but loss of time increases due to lengthy loading times
Solution Approach 1:
The patent performs preliminary actions by pre-calculating and embedding depth maps, projection matrices, and transformation matrices directly into the 2D image data during image generation. This preliminary preparation eliminates the need for time-consuming 3D model loading and real-time rendering computations, allowing instant 3D coordinate calculation from the enhanced 2D image
Solution Approach 2:
By copying essential 3D spatial data into the 2D image format, the system eliminates the need to load heavy 3D model files. The copied depth and transformation information is immediately available in the 2D image, dramatically reducing loading times while maintaining 3D data accessibility
3Measurement precision
If full 3D models are transmitted and rendered, then measurement precision is improved, but data security deteriorates due to exposure of sensitive 3D model data
Solution Approach 1:
The patent extracts only the necessary 3D spatial information (depth maps, projection matrices, transformation matrices) from the complete 3D model and embeds them into the 2D image. This extraction approach maintains measurement precision for coordinate calculation while minimizing data exposure, as the extracted data cannot be easily reverse-engineered to reconstruct the full 3D model, thereby improving data security
Solution Approach 2:
The enhanced 2D image acts as an intermediary that contains encoded 3D spatial information. This intermediary format allows accurate 3D coordinate calculation while protecting the underlying 3D model data, as the depth maps and matrices in the 2D image do not reveal the complete 3D model structure, thus resolving the contradiction between measurement precision and data security
4Measurement precision
If specialized 3D rendering applications are required, then measurement precision is improved, but ease of operation deteriorates due to training requirements
Solution Approach 1:
The patent copies essential 3D calculation capabilities into standard image processing environments. By embedding depth maps and transformation matrices in the 2D image, the system enables 3D coordinate calculation using common image viewing software rather than specialized 3D rendering applications, eliminating the need for extensive user training while maintaining calculation accuracy
Solution Approach 2:
The enhanced 2D image format serves multiple functions: it displays visual information like a standard image while simultaneously containing encoded 3D spatial data (depth maps, projection matrices) that can be processed by various applications. This multi-functionality allows any standard image viewer to potentially access 3D coordinates without requiring specialized 3D rendering software, improving ease of operation while maintaining precision
Data Source
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.