A coded structured light system based on primary color stripe projection and monochrome imaging.

Area of Science:

• Optical Metrology
• 3D Surface Measurement
• Computational Imaging

Background:

• Coded Structured Light (CSL) is crucial for 3D surface data acquisition.
• Existing CSL methods often require numerous projected patterns or complex calibration for color sensors.
• Color imaging introduces challenges like crosstalk and chromatic aberrations.

Purpose of the Study:

• To develop an efficient Coded Structured Light system for simultaneous 3D geometric and chromatic data acquisition.
• To overcome limitations of traditional CSL methods, particularly those involving color sensors.
• To leverage a monochrome camera for robust and accurate measurements.

Main Methods:

• Integration of a color stripe projector with a monochrome camera.
• Implementation of a discrete coding method combining spatial and temporal information.
• Sequential projection and acquisition of a minimal set of fringe patterns.

Main Results:

• Successful concurrent measurement of geometrical and chromatic data.
• Validation of the methodology on primitive geometries and free-form shapes.
• Demonstrated performance comparable to time-multiplexing gray code strategies.

Conclusions:

• The proposed CSL system effectively acquires both 3D shape and color information using a monochrome camera.
• This approach simplifies the system setup and calibration compared to color sensor-based methods.
• The discrete coding strategy offers an efficient alternative for optical metrology applications.