Range Image Acquisition with a Single Binary-Encoded Light Pattern
IEEE Transactions on Pattern Analysis and Machine Intelligence
Surface profile measurement using color fringe projection
Machine Vision and Applications
A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
High-Resolution, Real-time 3D Shape Acquisition
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 3 - Volume 03
3D Feature Tracking Using a Dynamic Structured Light System
CRV '05 Proceedings of the 2nd Canadian conference on Computer and Robot Vision
Animation cartography—intrinsic reconstruction of shape and motion
ACM Transactions on Graphics (TOG)
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Many structured light scanning systems based on temporal pattern codification produce dense and robust results on static scenes but behave very poorly when applied to dynamic scenes in which objects are allowed to move or to deform during the acquisition process. The main reason for this lies in the wrong combination of encoded correspondence information because the same point in the projector pattern sequence can map to different points within the camera images due to depth changes over time. We present a novel approach suitable for measuring and compensating such kind of pattern motion. The described technique can be combined with existing active range scanning systems designed for static surface reconstruction making them applicable for the dynamic case. We demonstrate the benefits of our method by integrating it into a gray code-based structured light scanner, which runs at 30 3D scans per second.