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Parallel three-dimensional sensing by color-coded triangulation.

G Häusler, D Ritter

|September 24, 2010

Summary

This summary is machine-generated.

This study introduces a 3D sensor using coded light and triangulation to capture ~250,000 object pixels per frame. The sensor measures pixel color to determine distance, enabling real-time 3D imaging.

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Area of Science:

Optics and Photonics
Computer Vision
Metrology

Background:

Traditional 3D sensing methods often face limitations in speed and resolution.
Real-time 3D data acquisition is crucial for dynamic scene analysis and robotics.

Purpose of the Study:

To present a novel three-dimensional (3D) sensor combining coded illumination and triangulation.
To demonstrate rapid 3D data acquisition at video frame rates.

Main Methods:

Utilizes a white-light source projecting a color spectrum onto the object.
Employs a color TV camera for observation from a different angle than illumination.
Measures object pixel distance based on color (hue) evaluated via red-green-blue channels.

Main Results:

Achieves dense 3D data acquisition of approximately 250,000 object pixels within 40 milliseconds (one TV frame).
Demonstrates real-time evaluation of depth information directly from camera output.
Successfully measures distances for colored objects with a resolution of 50-150 depth steps.

Conclusions:

The developed 3D sensor offers a high-speed, high-resolution solution for capturing object geometry.
The color-based triangulation method is effective for real-time 3D surface measurement.
This technology has potential applications in industrial inspection, robotics, and augmented reality.