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时空二值编码结构光三维成像中的亚像素匹配方法 被引量:2

Subpixel Matching of Three-Dimansional Imaging System Using Binary Spatiotemporal Encoded Illumination
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摘要 在时空二值编码结构光三维成像系统中,一个投影仪像素通常与摄像机图像坐标系的多个像素对应。为提高系统的测量精度及数据密度,提出了一种适用于时空二值编码结构光三维成像系统的摄像机与投影仪图像亚像素匹配方法。根据测量系统的二维传递函数的低通滤波特性和时空二值编码方案,对摄像机采集的图像采用时间正弦拟合的方法求解每个像素处的相位。由于该相位与投影仪图像坐标成正比关系,所以可以实现摄像机与投影仪图像的亚像素匹配。实验结果表明该方法可将系统的测量精度提高1个数量级。在相同实验条件下的测量精度与相位测量轮廓术的相当。 Severval camera pixels are usually corresponding to one projector pixel in three-dimensional(3D) imaging system using binary spatiotemporal encoded illumination.A novel method is proposed for subpixel image matching of camera and projector to increase the measurement precision and data density.The phase distribution of image captured by camera is obtained with sinusoid fitting on temporal direction,according to the binary spatiotemporal encoding strategy and the low pass filter characteristic of two-dimensional transfer function of measurement system.Because of the direct ratio of the phase distribution and projector pixel the corresponding point pairs between the image of projector and camera can be identified through the phase distribution with subpixel accuracy.The experimental results show that the measurement precision of the 3D imaging system is increased about one order of magnitude by using proposed method,and its measurement precision is similar with that of the phase measurement profilometry under the same experimental condition.
出处 《中国激光》 EI CAS CSCD 北大核心 2011年第10期186-191,共6页 Chinese Journal of Lasers
基金 国家自然科学基金(60702078)资助课题
关键词 机器视觉 三维测量 时空二值编码 亚像素匹配 machine vision three-dimensional shape measurement binary spatiotemporal encoding subpixel matching
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  • 1孙军华,张广军,魏振忠,周富强.大型自由曲面移动式三维视觉测量系统[J].仪器仪表学报,2006,27(12):1688-1691. 被引量:19
  • 2孔龙祥,程义民,王以孝,等.深度图像分析[M].北京:电子工业出版社,1996.
  • 3OISEN O V,PAULSEN R R. Motion tracking for medical imaging: a novisible structured light track- ing approach [J]. IEEE Transactions on Medical Imaging, 2012,31:79-87.
  • 4ALBITAR I C, GRAEBLING P, DOIGNON C. Ro- bust Structured light coding for 3D reconstruction [J]. Computer Vision, 2007,11 : 1 - 6.
  • 5THOMAS P. Real-time range acquisition by adap- tive structured light[J]. IEEE Transactions on Pat- tern Analysis and Machine Intelligence, 2006, 28 (3) :432-444.
  • 6LI ZH,BRIAN C,STEVEN M. Raplcl shape acqui- sition using color structured light and multi-pass dynamic programming [C]. // Proceedings of the 1st International Symposium on 3D Data Process- ing, Visualization and Transmission, Padowa , Ita- ly,2002:24-36.
  • 7JESSIE F, NEIL J A. Pseudo-random sequences and arrays[J]. IEEE, 1976,64(12) :1715-1727.
  • 8HIROSHI H,KOICHI Y,SENYA K,etal: Meas- urement of 3-D shape of specula polyhedrons using an M-array coded light source [J]. IEEE Transac- tions on Instrumentation and Measurement, 1995, 44(3) :775-778.
  • 9HIROYOSHI M, KAZUYASU Y, SHOJIRO S. Reconstruction of surfaces of 3-D objects by M-ar- ray pattern projection method[C]. //Second In- ternational Conference on Computer Vision ,New York, 1988 : 468-473.
  • 10Inf. Technol. Dept, Dharmsinh Desai Univ. , Nadi- ad, India. Analytical Study of Parallel and Distrib- uted Image Processing [J]. Image Information Processing, 2011,11 : 1-6.

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