Light Field Phase Unwrapping Using Multi-View Consistency
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Solution Overview
Problem
Existing phase unwrapping methods for structured light field imaging suffer from low accuracy, error accumulation, and complexity, particularly in dynamic scenes, due to noise sensitivity and multi-step calibration requirements.
Innovation Solution
A phase unwrapping method based on multi-view constraints of a light field, involving calibration of main and auxiliary view phases, polynomial calibration of mapping relations, and error minimization through candidate absolute phase calculation using wrapped phases from auxiliary views.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If spatial phase unwrapping is used to avoid projecting additional encoding, then applicability to dynamic scenes is improved, but measurement precision deteriorates due to noise sensitivity and error accumulation
Solution Approach 1:
The patent combines multiple wrapped phase images from different spatial views to perform phase unwrapping simultaneously. By merging information from multiple views, the method achieves accurate phase unwrapping without temporal sequencing, enabling applicability to dynamic scenes while maintaining measurement precision through multi-view constraint optimization
Solution Approach 2:
The patent employs an iterative optimization algorithm that uses feedback from the consistency of wrapped phases across multiple views to adjust and refine the unwrapped phase solution. This feedback mechanism enables the system to handle noise and complex shapes effectively while maintaining accuracy in dynamic scene applications
2Measurement precision
If multi-step mapping calibration is performed to achieve phase unwrapping, then measurement precision is improved, but device complexity increases due to multi-step calibration and mapping calculations
Solution Approach 1:
The patent performs preliminary calibration to establish mapping relationships between different views before the actual phase unwrapping process. By pre-establishing these mappings, the method simplifies the main unwrapping algorithm while maintaining measurement precision, avoiding the need for complex multi-step mapping calculations during the measurement phase
Data Source
AI summary
The present disclosure provides a phase unwrapping method based on multi-view constraints of a light field and related components. The method includes: sampling main view phases at different depths in a measurement scene; performing polynomial calibration on a mapping relation from the main view phase to the pixel coordinates of the corresponding points in auxiliary view images; calculating a candidate absolute phase set of each pixel in a main view image; traversing the candidate absolute phase set, calculating an error value between the candidate absolute phase set and wrapped phases of the pixel coordinates of the corresponding points in all the auxiliary view images by utilizing a calibrated mapping relation, and taking a candidate phase corresponding to the minimum error value as an absolute phase of each pixel in the main view image. The present disclosure can stably realize accurate phase unwrapping of the structured light field.