Composite structured light pattern for three-dimensional video.

Based on recent discoveries, we introduce a method to project a single structured pattern onto an object and then reconstruct the three-dimensional range from the distortions in the reflected and captured image. Traditional structured light methods require several different patterns to recover the depth, without ambiguity or albedo sensitivity, and are corrupted by object movement during the projection/ capture process. Our method efficiently combines multiple patterns into a single composite pattern projection allowing for real-time implementations. Because structured light techniques require standard image capture and projection technology, unlike time of arrival techniques, they are relatively low cost.

[1]  Mumin Song,et al.  Overview of three-dimensional shape measurement using optical methods , 2000 .

[2]  Laurence G. Hassebrook,et al.  Application of communication theory to high-speed structured light illumination , 1997, Other Conferences.

[3]  Minoru Maruyama,et al.  Range Sensing by Projecting Multiple Slits with Random Cuts , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  X. Su,et al.  Two-frequency grating used in phase-measuring profilometry. , 1997, Applied optics.

[5]  Peter M. Will,et al.  Grid Coding: A Preprocessing Technique for Robot and Machine Vision , 1971, IJCAI.

[6]  H Zhao,et al.  Phase-unwrapping algorithm for the measurement of three-dimensional object shapes. , 1994, Applied optics.

[7]  David R Burton,et al.  Technique for phase measurement and surface reconstruction by use of colored structured light. , 2002, Applied optics.

[8]  Jeffrey L. Posdamer,et al.  Surface measurement by space-encoded projected beam systems , 1982, Comput. Graph. Image Process..

[9]  T. R. Judge,et al.  A review of phase unwrapping techniques in fringe analysis , 1994 .

[10]  Q Fang,et al.  Linearly coded profilometry. , 1997, Applied optics.

[11]  Joaquim Salvi,et al.  Recent progress in coded structured light as a technique to solve the correspondence problem: a survey , 1998, Pattern Recognit..

[12]  David Beymer,et al.  Face recognition under varying pose , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[13]  L. Hassebrook,et al.  Optimized two-frequency phase-measuring-profilometry light-sensor temporal-noise sensitivity. , 2003, Journal of the Optical Society of America. A, Optics, image science, and vision.

[14]  V. Srinivasan,et al.  Automated phase-measuring profilometry: a phase mapping approach. , 1985, Applied optics.

[15]  Laurence G. Hassebrook,et al.  Robust SVD-based calibration of active range sensors , 2000, SPIE Defense + Commercial Sensing.

[16]  L G Hassebrook,et al.  Channel capacity model of binary encoded structured light-stripe illumination. , 1998, Applied optics.

[17]  Kim L. Boyer,et al.  Color-Encoded Structured Light for Rapid Active Ranging , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[18]  Gustav Schmaltz Eine Methode zur Darstellung der Profilkurven rauher Oberflächen , 2005, Naturwissenschaften.

[19]  Robert A. Hummel,et al.  Experiments with the intensity ratio depth sensor , 1985, Comput. Vis. Graph. Image Process..