Adaptive Stereo Vision Processing for Motion and Lighting Changes
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing devices fail to select the optimal pair of cameras for stereo image capture based on motion and lighting conditions, leading to inefficient stereo vision processing.
Innovation Solution
A device with multiple cameras that monitors motion and lighting changes, switching to modified stereo vision processing when contextual data exceeds a threshold, utilizing asymmetric down-sampling operations for enhanced accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If standard stereo vision processing is used with fixed camera pairs, then the device structure is simple, but the accuracy and efficiency of stereo vision processing deteriorates under varying motion and lighting conditions
Solution Approach 1:
The patent implements dynamic camera selection and processing mode switching based on real-time motion and lighting conditions. The system transitions from static fixed camera pairs to dynamic adaptive selection, where camera pairs are chosen and processing parameters are adjusted according to current environmental conditions, resolving the contradiction between simplicity and accuracy.
Solution Approach 2:
The system changes processing parameters such as down-sampling ratios and camera pair selections based on detected motion and lighting conditions. By adjusting these parameters dynamically, the system achieves higher accuracy without requiring a completely complex reconfiguration of the entire processing pipeline.
2Productivity
If multiple camera pairs are available but not selectively used, then the device structure is simple, but the efficiency of stereo vision processing deteriorates
Solution Approach 1:
The system uses feedback from motion detectors and lighting sensors to automatically select optimal camera pairs and processing modes. This closed-loop control enables efficient processing by continuously monitoring conditions and adjusting camera selection accordingly, eliminating the need for manual intervention while maintaining high productivity.
Solution Approach 2:
The system performs preliminary detection of motion and lighting conditions before initiating stereo vision processing. By assessing environmental conditions in advance, the system pre-selects appropriate camera pairs and processing parameters, avoiding unnecessary processing complexity and improving overall efficiency.
3Measurement precision
If stereo vision processing is applied without considering motion and lighting, then the processing flow is simple, but the measurement precision deteriorates
Solution Approach 1:
The processing flow is segmented into distinct stages: environmental condition detection, camera pair selection, and stereo vision processing with adaptive down-sampling. By dividing the complex task into manageable segments, the system achieves high measurement precision while keeping each individual stage relatively simple and manageable.
Data Source
AI summary
Aspects relate to monitoring motion and lighting to implement modified stereo vision processing. A device may include one or more memories configured to store one or more images. The device may further include one or more processors coupled to the one or memories, in which, the one or more processors are configured to: obtain contextual data; determine if a contextual data change exceeds a threshold; and when the contextual data change exceeds the threshold, switch from stereo vision processing to a modified stereo vision processing.