3D Reconstruction Image Acquisition Guidance for First-Pass Success
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Solution Overview
Problem
Conventional 3D model reconstruction methods are time-consuming and result in poor user experience due to the need for repeated reconstructions when the acquired two-dimensional images do not meet quality requirements.
Innovation Solution
A three-dimensional model reconstruction method that includes sending reconstruction indicator information to a server device, receiving an image acquisition solution, and guiding the acquisition of two-dimensional images using an image acquisition guide program to improve accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional 3D model reconstruction methods are used without preliminary image acquisition guidance, then the reconstruction process can be initiated quickly, but the acquired two-dimensional images may not meet quality requirements, leading to reconstruction failure and wasted time
Solution Approach 1:
The system performs preliminary analysis of the target object and generates an image acquisition solution before the actual 3D reconstruction process. This solution includes guidance on camera positions, angles, and required image quantities, ensuring that images are acquired correctly from the outset and preventing reconstruction failures that would require time-consuming retries
Solution Approach 2:
The system provides feedback mechanisms including image quality assessment and acquisition guidance during the image collection process. This real-time feedback ensures that images meet the required quality standards before reconstruction begins, improving success rate while minimizing time loss through immediate correction of acquisition issues
2Reliability
If detailed image acquisition guidance is provided to ensure image quality, then reconstruction success rate improves, but the complexity of the acquisition process increases
Solution Approach 1:
The system automatically generates image acquisition solutions and provides self-guided instructions to users during the image collection process. The intelligent algorithm autonomously determines optimal camera positions, angles, and sequences, eliminating the need for complex manual setup while ensuring high-quality image acquisition for successful reconstruction
3Quantity of substance
If multiple images are acquired from different angles and distances without guidance, then more comprehensive data is collected, but the images may not meet reconstruction requirements, necessitating repeated reconstruction attempts
Solution Approach 1:
The system performs preliminary analysis to determine the exact number, positions, and angles of images needed for successful reconstruction. This pre-planning ensures that the right quantity of images is acquired from optimal viewpoints, preventing both insufficient data collection and unnecessary redundant images that would require reconstruction retries
Solution Approach 2:
The system dynamically adjusts image acquisition parameters such as camera position, angle, and distance based on the specific characteristics of the target object. This adaptive parameter optimization ensures that the acquired images meet reconstruction requirements while maintaining efficiency, avoiding both insufficient and excessive image collection
Data Source
AI summary
A three-dimensional model reconstruction method includes: sending three-dimensional model reconstruction indicator information to a server device, where the three-dimensional model reconstruction indicator information is used for representing a three-dimensional model reconstruction requirement; receiving an image acquisition solution sent by the server device, where the image acquisition solution is used for guiding acquisition of a two-dimensional image of a reconstructed object; and acquiring the two-dimensional image of the reconstructed object according to the image acquisition solution, where the two-dimensional image is used for three-dimensional model reconstruction.