3D Imaging Guidance for Difficult Region Reconstruction
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Solution Overview
Problem
Existing methods for generating three-dimensional models face challenges in improving precision, particularly in determining optimal shooting positions and orientations to enhance the quality of three-dimensional models.
Innovation Solution
A shooting instruction method and device that analyzes shooting positions and orientations in real-time, identifying regions difficult to reconstruct and providing instructions to improve image capture for better three-dimensional model generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple images are captured from various viewpoints to generate three-dimensional models, then the completeness of the model is improved, but the precision of the model deteriorates due to insufficient images from optimal shooting positions
Solution Approach 1:
The system performs preliminary determination of optimal shooting positions and orientations before actual image capture. By calculating and presenting candidate positions in advance, the system guides users to capture images from precisely optimized viewpoints, ensuring that each captured image contributes maximally to model precision without requiring excessive numbers of images.
Solution Approach 2:
The system replaces manual trial-and-error shooting with automated computational determination of optimal shooting positions. By using computer-based calculations to identify candidate positions and orientations, the system substitutes intuitive but imprecise manual positioning with mathematically optimized positioning, thereby improving model precision.
2Ease of operation
If users capture images without guidance on optimal shooting positions, then the operation is simple, but the precision of three-dimensional model generation deteriorates
Solution Approach 1:
The system introduces an intermediary guidance component that presents candidate shooting positions and orientations to users during the capture process. This intermediary layer translates complex computational optimization results into user-friendly visual guidance, allowing users to easily follow instructions while achieving precision that would otherwise require expert knowledge.
Solution Approach 2:
The system provides real-time feedback to users by displaying candidate shooting positions and orientations based on the current state of image capture. This feedback mechanism continuously guides users toward optimal shooting positions, allowing them to adjust their capture strategy dynamically while maintaining simplicity of operation and achieving high model precision.
3Manufacturing precision
If the system determines optimal shooting positions for all regions, then the precision of three-dimensional model is improved, but the complexity of the system increases
Solution Approach 1:
The system segments the three-dimensional space into multiple regions and determines candidate shooting positions independently for each region. By dividing the overall task into region-specific subtasks, the system manages complexity through modular processing while ensuring comprehensive coverage and high precision across the entire model.
Solution Approach 2:
The system applies different shooting position determinations to different regions based on their specific characteristics. By optimizing shooting positions locally for each region rather than using a uniform approach, the system achieves high overall model precision while managing system complexity through localized, adaptive processing.
Data Source
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AI summary
A shooting instruction method is a shooting instruction method executed by a shooting instruction device, and includes: getting input to specify a first region in order to generate a three-dimensional model of a subject, based on images generated by shooting the subject and on a shooting position and a shooting orientation of each of the images (S205); and instructing at least one of a shooting position or a shooting orientation so that an image to be used in generating a three-dimensional model of the first region specified is shot. For example, the shooting instruction method may include: detecting a second region for which generating of the three-dimensional model is difficult, based on the images and the shooting positions and orientations; and instructing at least one of a shooting position or a shooting orientation so that an image which facilitates generating of a three-dimensional model of the second region is generated. In the instructing corresponding to the first region, the at least one of the shooting position or the shooting orientation is instructed so that the image which facilitates the generating of the three-dimensional model of the first region is shot.