Multi-View Phase Shift Profilometry Calibration
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Solution Overview
Problem
Existing 3D scanning technologies using phase measuring profilometry (PMP) face challenges in achieving comprehensive 3D reconstruction due to limited camera and projector configurations, leading to insufficient data acquisition and the need for multiple views and additional shooting.
Innovation Solution
A 3D calibration method and apparatus for multi-view phase shift profilometry that optimizes the position information of projectors and cameras, allowing for calibration and 3D reconstruction with a single target by fusing depth maps from multiple cameras and performing confidence-based depth map fusion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single camera and projector pair is used for 3D scanning, then the system complexity is reduced, but the coverage and completeness of 3D data acquisition becomes insufficient
Solution Approach 1:
The patent merges multiple camera-projector pairs into a unified multi-view system that shares calibrated parameters and coordinate systems. By combining the depth maps from multiple views through confidence-based fusion, the system achieves comprehensive 3D coverage equivalent to multiple independent systems while maintaining a unified calibration framework, thus reducing overall system complexity.
Solution Approach 2:
The calibration target and calibration process are designed to serve multiple camera-projector pairs simultaneously. A single calibration target can be viewed by multiple cameras from different angles, and the calibration parameters obtained are universally applicable across all camera-projector combinations in the system, eliminating the need for separate calibration of each pair.
2Loss of information
If multiple camera-projector pairs are used to improve 3D data coverage, then the coverage and completeness of 3D data acquisition is improved, but the device complexity and calibration difficulty increases
Solution Approach 1:
The patent segments the calibration process into distinct modules: individual camera intrinsic parameter calibration, projector parameter calibration, and multi-view coordinate system alignment. Each module can be independently executed and optimized, reducing the overall complexity of calibrating multiple camera-projector pairs while maintaining comprehensive 3D data coverage.
Solution Approach 2:
The patent introduces a common coordinate system and confidence-based depth map fusion mechanism as intermediaries between multiple camera-projector pairs. These intermediaries enable seamless integration of data from different views without requiring complex direct coordination between each camera-projector pair, thus managing system complexity while improving 3D data coverage.
3Measurement precision
If multiple calibration targets and additional shooting are used, then the measurement precision and reliability of 3D reconstruction is improved, but the time consumption and productivity decreases
Solution Approach 1:
The patent performs comprehensive calibration of all camera-projector pairs and establishes the multi-view coordinate system transformation in advance. By preparing the confidence-based depth map fusion framework beforehand, the system can quickly process multiple views during actual 3D scanning without requiring additional calibration shots or target movements, thus maintaining high measurement precision while improving productivity.
Solution Approach 2:
The patent dynamically adjusts confidence weights for depth maps from different views based on calibration results and viewing conditions. By optimizing parameter combinations during processing rather than requiring multiple physical calibration targets, the system achieves high measurement precision efficiently without time-consuming additional shooting.
Data Source
AI summary
Disclosed is a three-dimensional (3D) calibration method and device for multi-view phase shift profilometry. A 3D calibration method for multi-view phase shift profilometry, performed by a computer device, according to an example embodiment may include acquiring a phase that is data required for 3D reconstruction from parameters of at least one camera and a projector based on a phase measuring profilometry (PMP) method; defining a phase-to-depth function for each camera-and-projector combination and performing calibration of optimizing the parameters of the camera and the projector; and acquiring a point cloud that includes depth information using the optimized parameters of the camera and the projector.