3D Reconstruction Frame Overlap Estimation by Object Size
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Solution Overview
Problem
Existing 3D reconstruction methods face inefficiencies due to the suboptimal selection of frames for reconstruction, which can impact the quality and resource utilization based on the size of the object being reconstructed.
Innovation Solution
Systems and techniques for determining an optimum overlap ratio estimation by analyzing the camera's movement and object size to adapt the number of keyframes used for reconstruction, adjusting the overlap ratio based on the size category of the object being scanned.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a fixed overlap ratio is used for frame selection in 3D reconstruction, then the processing method is simple, but the reconstruction quality is suboptimal for different object sizes
Solution Approach 1:
The overlap ratio is changed from a fixed static value to a dynamic value that adapts based on object size. The system calculates the optimal overlap ratio in real-time by analyzing the relationship between object dimensions and the required frame overlap, allowing the reconstruction quality to be optimized for each specific object while maintaining automated processing.
Solution Approach 2:
The system changes the overlap ratio parameter based on object size characteristics. By establishing a relationship between object dimensions and optimal overlap ratios, the system automatically adjusts this critical parameter to achieve high reconstruction quality for small, medium, and large objects without manual intervention.
2Manufacturing precision
If more frames are selected for reconstruction, then the reconstruction quality improves, but the computing resource consumption increases
Solution Approach 1:
The overlap ratio parameter is optimized based on object size to achieve the best balance between reconstruction quality and computing resource usage. For small objects, a higher overlap ratio (more frames) is used to capture fine details, while for large objects, a lower overlap ratio (fewer frames) suffices, reducing unnecessary computational burden.
3Productivity
If fewer frames are used for reconstruction, then the computing resources are saved, but the reconstruction quality deteriorates
Solution Approach 1:
The system dynamically adjusts the overlap ratio parameter to maintain high reconstruction quality while improving processing efficiency. By calculating the optimal overlap ratio based on object size, the system ensures that enough frames are selected to capture essential object features without unnecessarily increasing the frame count, thus achieving efficient processing with high quality output.
Data Source
AI summary
Techniques and systems are provided for image processing. For instance, a process can include obtaining pose information for an image sensor, the pose information indicating a set of viewpoints of an environment, wherein the image sensor is configured to capture frames for reconstructing an object; fitting a curve to the set of viewpoints; determining one or more characteristics of a curve; determining a direction of the image sensor based on the one or more characteristics of the curve and the set of viewpoints; determining an overlap ratio based on the one or more characteristics of the curve and the determined direction of the image sensor; and outputting the determined overlap ratio for selecting frames to be used for reconstructing the object.