3D Image Synthesis Using Dynamic Inter-Axial Distance Adjustment
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Solution Overview
Problem
Existing technologies for producing three-dimensional (3D) images struggle to accurately synthesize 3D images without a sense of incongruity, as they fail to consider depth as an important component of 3D imaging.
Innovation Solution
A method and apparatus for synthesizing 3D images by modeling the background at multiple positions to generate background models, setting optimized inter-axial distances (IADs) for a camera based on these models, and then synthesizing the 3D images of the background and objects using these IADs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If stereoscopic 3D imaging is used to produce 3D images, then the depth representation is improved, but the imaging process becomes more complicated compared to 2D imaging
Solution Approach 1:
The imaging process is segmented into separate steps: first capturing the background image, then capturing the object image, and finally synthesizing them. This segmentation allows each step to be optimized independently, reducing overall complexity while maintaining 3D depth representation quality.
Solution Approach 2:
The background image is captured and processed in advance before the object imaging. By preparing the background model beforehand with appropriate IAD settings, the actual 3D imaging process for the object becomes simpler and more focused.
2Device complexity
If existing technology enlarges or reduces the object image at a set ratio and synthesizes it on a set position of the background image, then the synthesis process is simplified, but the depth accuracy and sense of congruity deteriorate
Solution Approach 1:
Instead of using a fixed set ratio and position for object synthesis, the system adjusts the IAD parameter based on the specific position within the background scene. This dynamic parameter adjustment maintains depth accuracy across different positions while preserving reasonable synthesis process simplicity.
Solution Approach 2:
Different IAD values are applied to different regions of the background image based on local depth requirements. This allows each region to have optimized depth representation rather than applying a uniform approach, improving overall depth accuracy without excessive complexity.
3Device complexity
If a single IAD is used for all positions in the background, then the camera setup is simplified, but the depth representation accuracy at different positions deteriorates
Solution Approach 1:
The IAD parameter transitions from a static single value to a dynamic value that changes based on the camera's position within the background scene. This dynamic adjustment allows the system to maintain optimal depth representation accuracy at each position while keeping the camera setup process relatively simple through automated IAD selection.
Data Source
AI summary
A 3D image synthesizing apparatus models a background to be imaged for each of positions to generate a background model at each of positions, sets a first IAD of a camera at each position based on the background model at each position, obtains a 3D image of the background imaged by the camera based on the first IAD, selects a target position corresponding to an object to be imaged from among the positions, sets a second IAD of the camera at the target position based on the first IAD set at the target position, obtains a 3D image of the object imaged by the camera based on the second IAD, and synthesizes the 3D image of the background and the 3D image of the object.