Dual-View Profilometry Using Temporal Interlacing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current multi-view phase-shifting fringe projection profilometry systems are limited by redundancy in data acquisition, which clamps imaging speeds and requires a sacrifice of the field of view, and they struggle with reconstruction accuracy on non-Lambertian surfaces due to intensity differences and shadow effects.
Innovation Solution
A system and method for high-speed dual-view band-limited illumination profilometry, where sinusoidal fringe patterns are projected onto an object and captured by cameras positioned on the same side of the projector, allowing for alternative capture of deformed fringe patterns and enabling phase demodulation and reconstruction to recover 3D images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If each camera captures the full sequence of fringe patterns in multi-view profilometry, then complete 3D reconstruction data is obtained, but imaging speed is limited and field of view must be sacrificed
Solution Approach 1:
The patent divides the fringe pattern sequence capture task between multiple cameras, where each camera captures only a subset of the sequences. This segmentation eliminates redundant data acquisition while maintaining complete 3D reconstruction capability through temporal interlacing, thereby improving imaging speed without sacrificing measurement precision
Solution Approach 2:
The patent employs temporal interlacing with periodic action by alternating the capture of different fringe pattern sequences between multiple cameras in a time-division multiplexing scheme. This periodic capture strategy ensures that each camera captures sufficient data for accurate reconstruction while achieving higher overall imaging speeds by parallelizing the acquisition process
2Adaptability or versatility
If cameras are placed on different sides of the projector to achieve multi-view observation, then complete object coverage is obtained, but intensity differences and shadow effects reduce reconstruction accuracy
Solution Approach 1:
The patent transitions from spatial separation of cameras to temporal separation, placing cameras on the same side of the projector but capturing sequences at different time intervals. This dimensional change from space to time eliminates shadow effects and intensity differences while maintaining complete object coverage through the temporal interlacing strategy
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach eliminates redundant data capture, enhances imaging speed, and expands the field of view, while also improving reconstruction accuracy on non-Lambertian surfaces by reducing intensity differences and shadow effects.
Implementation Method 1
the projection unit projects sinusoidal fringe patterns onto the object and the cameras alternatively capture, point by point; fringe patterns deformed by the object, depth information being encoded into the phase of the deformed fringe patterns
Implementation Method 2
the cameras alternatively capture, point by point; fringe patterns deformed by the object
Implementation Method 3
depth information being encoded into the phase of the deformed fringe patterns, and the object being recovered by phase demodulation and reconstruction
Data Source
AI summary
A system and a method for high-speed dual-view band-limited illumination profilometry using temporally interlaced acquisition is disclosed. The method comprises using a projecting unit for projecting sinusoidal fringe patterns onto an object and capturing fringe patterns deformed by the object. A 3D image of the object is recovered pixel by pixel from partial images provided by a first camera and a second camera by locating a point in the images of the second camera that matches a selected pixel of the first camera. 3D coordinates and wrapped phase are then estimated based on a calibration of the cameras and determining an horizontal coordinate on the plane of a projector of the projecting unit based on a calibration of the projector, and using a wrapped phase value to recover a 3D point of 3D coordinates (x, y, z).