Decoding Color Structured Light Patterns with a Region Adjacency Graph
Proceedings of the 31st DAGM Symposium on Pattern Recognition
The influence of color on color coded triangulation
CGIM '08 Proceedings of the Tenth IASTED International Conference on Computer Graphics and Imaging
3D face scanning systems based on invisible infrared coded light
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part I
A state of the art in structured light patterns for surface profilometry
Pattern Recognition
Efficient multiple phase shift patterns for dense 3D acquisition in structured light scanning
Image and Vision Computing
Belief propagation for improved color assessment in structured light
Proceedings of the 32nd DAGM conference on Pattern recognition
Structured light self-calibration with vanishing points
Machine Vision and Applications
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A new real-time 3D sensor is presented that is capable of delivering 25 high-resolution depth maps per second with a representative measurement error of 0.2 mm. The sensor is well suited for real-world application as it imposes no major scene constraints, i.e. it copes well with colored objects, moving scenes and background illumination. The acquisition technique, which is a form of structured light with a single projection pattern, is introduced, where the focus is on two aspects: Firstly, a new type of projection pattern that employs local color edge patterns for encoding so that it is possible to decode them even under noisy real-world conditions. Secondly, an algorithm that exploits the pattern properties to recognize the projected color edge patterns reliably. It then describes a 3D sensor based on this technique and presents experimental results obtained with it. It furthermore discusses an exemplary commercial application of the 3D sensor to the task of wheel alignment.