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Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

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Published on: February 12, 2014

Flexible 3D reconstruction method based on phase-matching in multi-sensor system.

Qingyang Wu, Baichun Zhang, Jinhui Huang

|May 4, 2016

Summary

This summary is machine-generated.

This study introduces a new phase-matching method for multi-sensor 3D reconstruction. It simplifies calibration and speeds up 3D image generation, overcoming limitations of single sensors.

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Last Updated: Mar 21, 2026

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Area of Science:

Computer Vision
Metrology
Image Processing

Background:

Single sensor systems have limited measuring ranges for 3D reconstruction.
Traditional multi-sensor systems require complex and time-consuming separate calibrations.
Independent sensor operation in traditional systems complicates overall calibration.

Purpose of the Study:

To present a flexible 3D reconstruction method using phase-matching for multi-sensor systems.
To enable simultaneous calibration and data registration within a unified coordinate system.
To eliminate the need for post-calibration sensor position adjustments.

Main Methods:

A novel phase-matching technique is employed for multi-sensor data integration.
Sensors are calibrated concurrently, registering data into a common coordinate system.
The method ensures all 3D image data reside in a unified system post-calibration.

Main Results:

The proposed method simplifies the calibration process for multi-sensor systems.
Simultaneous calibration and registration achieve accurate 3D image data.
The system demonstrates fast and efficient 3D image reconstruction.

Conclusions:

The phase-matching approach offers a streamlined solution for multi-sensor 3D reconstruction.
This method enhances operational simplicity and measurement accuracy.
It significantly reduces the time required for 3D image acquisition and processing.