Mobile 3D Scanning Parameter Adjustment for Key Frame Quality
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Solution Overview
Problem
Current 3D scanning technologies on mobile terminals face challenges in obtaining high-quality key frames due to subjective user operation, leading to inaccurate feature point matching and poor 3D reconstruction, especially when scanning speed is too quick or the camera distance changes significantly.
Innovation Solution
A method and apparatus that determine the type of target object and adjust scanning parameters such as distance, angle, and speed in real-time by comparing real-time scan parameters with preset reference parameters, prompting the user to correct the scanning status through messages to ensure optimal key frame capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If scanning is performed quickly to improve productivity, then scanning speed increases, but key frame quality deteriorates
Solution Approach 1:
The system continuously monitors scanning parameters (distance, angle, speed) and provides real-time feedback to the user through prompts. When parameters deviate from optimal ranges, the system alerts the user to adjust, ensuring high-quality key frames are captured without significantly slowing down the overall scanning process.
Solution Approach 2:
The system dynamically adjusts scanning parameters based on real-time conditions. It monitors the current scanning state and adapts the required parameters (distance, angle, speed) according to the specific object being scanned and the current capture quality, allowing flexible optimization between speed and quality.
2Area of stationary object
If camera distance changes greatly to capture more object details, then scanning coverage improves, but feature point matching accuracy deteriorates
Solution Approach 1:
The system changes the camera distance parameter within an optimal range based on the scanned object type. For different objects (portrait, full-body, object), it establishes and maintains specific distance parameters that balance coverage and matching accuracy, preventing excessive distance changes that would degrade feature point matching.
Solution Approach 2:
The system applies different distance and angle parameters for different scanning scenarios. Instead of using a fixed parameter set, it tailors the scanning parameters to the specific local requirements of each object type and scanning stage, optimizing both coverage and accuracy for each situation.
3Ease of operation
If scanning parameters are fixed to simplify operation, then ease of operation improves, but adaptability to different objects deteriorates
Solution Approach 1:
The system performs preliminary classification of the scanned object type before executing the scanning process. By identifying the object category first (portrait, full-body, object), it can then automatically select and apply the appropriate parameter set, simplifying user operation while maintaining high adaptability to different object types.
Solution Approach 2:
The system creates a universal scanning framework that can handle multiple object types through a single interface. By implementing automatic object recognition and parameter selection, one scanning system can adaptively serve multiple purposes (portrait scanning, full-body scanning, object scanning) without requiring separate manual configurations for each.
Data Source
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AI summary
A method for adjusting a scanning status is provided, and the method is used to perform scanning around a target object to obtain a key frame of the target object. The method includes: determining, by a mobile terminal, whether the target object is a preset target type; if the target object is the preset target type, determining a reference scan parameter corresponding to the preset target type (S1); obtaining a real-time scan parameter used when the mobile terminal performs scanning around the target object (S2); determining whether the real-time scan parameter conforms to the reference scan parameter (S3); and generating a prompt message if the real-time scan parameter does not conform to the reference scan parameter, where the prompt message is used to prompt a user to adjust a scanning status corresponding to a current scan parameter (S4). By comparing a real-time scan parameter obtained by a sensor with a corresponding optimal scan parameter, a current user may know whether a current scanning status is proper, and further correct a current incorrect scanning status to obtain a key frame in better quality.