Angle-Interval Image Sorting for Efficient 3D Reconstruction
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Solution Overview
Problem
Existing three-dimensional reconstruction methods require extensive calculation to sort images by shooting angles, leading to inefficiencies in acquiring three-dimensional images, especially in applications like virtual fitting mirrors where users do not need to physically rotate to capture images from various angles.
Innovation Solution
The method determines shooting angles using an angle recognition model and sets images within specific angle intervals, allowing direct ordering based on these angles for reconstruction, reducing calculation and improving efficiency by reserving high-quality images and deleting lower-resolution ones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional three-dimensional reconstruction methods are used to sort images by shooting angles, then complete three-dimensional image reconstruction can be achieved, but extensive calculation is required leading to low efficiency
Solution Approach 1:
The patent applies preliminary action by pre-dividing the angle range [0, 360°) into multiple angle intervals and pre-assigning each captured image to its corresponding angle interval based on shooting angle. This preprocessing step eliminates the need for extensive post-capture sorting calculations, significantly improving reconstruction efficiency while reducing processing time.
2Reliability
If all captured images are retained for reconstruction, then complete coverage of the target object is achieved, but processing complexity and storage requirements increase
Solution Approach 1:
The patent segments the image set by dividing the angle range into multiple intervals and assigning images to specific intervals based on their shooting angles. This segmentation organizes the image set systematically, reducing processing complexity while ensuring complete object coverage through comprehensive interval coverage. The method also filters out low-resolution images within each interval, further simplifying the dataset.
3Quantity of substance
If images with varying resolutions are processed, then all available data is utilized, but image quality consistency deteriorates
Solution Approach 1:
The patent applies local quality by implementing resolution filtering within each angle interval. For images falling into the same angle interval, the system identifies and retains only those meeting a specified resolution threshold, while filtering out lower-resolution images. This local quality control ensures consistent image quality within each interval while maintaining comprehensive angular coverage through the interval-based organization.
Data Source
AI summary
A three-dimensional reconstruction method includes: acquiring first images captured by a first camera, each of the first images being an image containing a target object; determining a shooting angle of the each of the first images, the shooting angle being configured to characterize a shooting direction relative to the target object when the first camera shoots the first images; determining an angle interval corresponding to the each of the first images from a plurality of angle intervals included in an angle range [0, 360°) based on the shooting angle, and setting the first image as a target image in the angle interval; and three-dimensionally reconstructing the target object based on the target images in the respective angle intervals to obtain a three-dimensional image of the target object.