Multi-Projector Color Structured-Light Vision
Changsoo Je, Kwang Hee Lee, Sang Wook Lee

TL;DR
This paper introduces a novel multi-projector color structured-light method that disambiguates overlapping projected patterns using chromaticity analysis and pattern orientation multiplexing, enhancing 3D imaging of larger object areas.
Contribution
It presents a new approach for multi-projector structured-light imaging that effectively separates superposed patterns, improving range acquisition efficiency over traditional methods.
Findings
Successfully disambiguates overlapping patterns using chromaticity analysis.
Demonstrates increased range acquisition efficiency with multiple projectors.
Validates the method through experimental studies.
Abstract
Research interest in rapid structured-light imaging has grown increasingly for the modeling of moving objects, and a number of methods have been suggested for the range capture in a single video frame. The imaging area of a 3D object using a single projector is restricted since the structured light is projected only onto a limited area of the object surface. Employing additional projectors to broaden the imaging area is a challenging problem since simultaneous projection of multiple patterns results in their superposition in the light-intersected areas and the recognition of original patterns is by no means trivial. This paper presents a novel method of multi-projector color structured-light vision based on projector-camera triangulation. By analyzing the behavior of superposed-light colors in a chromaticity domain, we show that the original light colors cannot be properly extracted by…
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