Color-Encoded Structured Light for Rapid Active Ranging
IEEE Transactions on Pattern Analysis and Machine Intelligence
Range Imaging With Adaptive Color Structured Light
IEEE Transactions on Pattern Analysis and Machine Intelligence
Better optical triangulation through spacetime analysis
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Spacetime faces: high resolution capture for modeling and animation
ACM SIGGRAPH 2004 Papers
Scene-Adapted Structured Light
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Structured Light in Scattering Media
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Real-Time Range Acquisition by Adaptive Structured Light
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimised De Bruijn patterns for one-shot shape acquisition
Image and Vision Computing
Color-stripe structured light robust to surface color and discontinuity
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
One-shot Entire Shape Acquisition Method Using Multiple Projectors and Cameras
PSIVT '10 Proceedings of the 2010 Fourth Pacific-Rim Symposium on Image and Video Technology
Video-rate capture of dynamic face shape and appearance
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
High-accuracy stereo depth maps using structured light
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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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 the conventional direct estimation. We disambiguate multiple projectors by multiplexing the orientations of projector patterns so that the superposed patterns can be separated by explicit derivative computations. Experimental studies are carried out to demonstrate the validity of the presented method. The proposed method increases the efficiency of range acquisition compared to conventional active stereo using multiple projectors.