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Abstracts of Presentations at the International Conference on Basic and Clinical Multimodal Imaging (BaCI), a Joint Conference of the International Society for Neuroimaging in Psychiatry (ISNIP), the International Society for Functional Source Imaging (ISFSI), the International Society for Bioelectromagnetism (ISBEM), the International Society for Brain Electromagnetic Topography (ISBET), and the EEG and Clinical Neuroscience Society (ECNS), in Geneva, Switzerland, September 5-8, 2013.

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Updated: Jun 12, 2026

Rapid Acquisition of 3D Images Using High-resolution Episcopic Microscopy

Rapid Acquisition of 3D Images Using High-resolution Episcopic Microscopy

Published on: November 21, 2016

Acquisition of 3-D data by focus sensing.

K Engelhardt, G Häusler

|June 12, 2010

Summary

This study presents a simple, rapid 3D shape sensing technique using structured illumination and focus sensing for diffusely reflecting objects. It

Area of Science:

Computer Vision
Robotics
Optical Sensing

Background:

3D shape reconstruction is crucial for robot vision and object recognition.
Existing methods may lack speed or simplicity for real-time applications.

Purpose of the Study:

To demonstrate a novel range sensing technique for acquiring the 3D shape of diffusely reflecting objects.
To evaluate the technique's suitability for robot vision tasks requiring scene overviews.

Main Methods:

Sequential depth sensing based on structured illumination.
Focus sensing using a TV camera and analog electronics.
Real-time processing of focus series for depth information.

Main Results:

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Last Updated: Jun 12, 2026

Rapid Acquisition of 3D Images Using High-resolution Episcopic Microscopy

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High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

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Successfully determined the 3D shape of objects.

Achieved real-time performance for scene overview.

Depth resolution was found to be limited.

Conclusions:

The demonstrated technique is simple, rapid, and effective for obtaining 3D object shape overviews.
It is well-suited for robot vision applications where speed is prioritized over high depth resolution.