Adaptive colour classification for structured light systems

The authors present an adaptive colour classification method as well as specialised low-level image processing algorithms. With this approach the authors achieve high-quality 3D reconstructions with a single-shot structured light system without the need of dark laboratory environments. The main focus of the presented work lies in the enhancement of the robustness with respect to environment illumination, colour cross-talk, reflectance characteristics of the scanned face etc. For this purpose the colour classification is made adaptive to the characteristics of the captured image to compensate for such distortions. Further improvements are concerned with enhancing the quality of the resulting 3D models. Therefore the authors replace the typical general-purpose image preprocessing with specialised low-level algorithms performing on raw photo sensor data. The presented system is suitable for generating high-speed scans of moving objects because it relies only on one captured image. Furthermore, due to the adaptive nature of the used colour classifier, it generates high-quality 3D models even under perturbing light conditions.