Robust technique for 3D shape reconstruction

Abstract In this paper a robust and simple scheme is presented for three dimensional (3D) shape reconstruction of real object. A novel composite pattern technique is proposed for projecting the light pattern on the object of interest. The proposed scheme reduces the number of patterns by combining the primary color coded channels into one composite format. Our approach uses both spatial and temporal intensity variation for calibration and construction phase. Gamma calibration is considered with the propose scheme. High quality depth map is obtained from the linear light reflected by the shape of object without complex calculations. Experimental results demonstrated that proposed technique is fast and exhibit high level of precision. In addition hardware cost is minimized as compare to current calibration procedures used in structured light scanning system. Our scheme requires a digital camera, flashlight and mask of pattern only.

[1]  Sergio Orts,et al.  HyperDepth: Learning Depth from Structured Light without Matching , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[2]  David Mary,et al.  Large scale 3D image reconstruction in optical interferometry , 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

[3]  Martin Hill,et al.  Verification of 2-D MEMSmodel using optical profiling techniques , 2001 .

[4]  M. Pashaei,et al.  IMPLEMENTATION OF A LOW COST STRUCTURED LIGHT SCANNER , 2013 .

[5]  Juneho Yi,et al.  Using structured light for efficient depth edge detection , 2008, Image Vis. Comput..

[6]  Zhengyou Zhang,et al.  A Flexible New Technique for Camera Calibration , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  Robert J. Woodham,et al.  Photometric method for determining surface orientation from multiple images , 1980 .

[8]  Jason Geng,et al.  Structured-light 3D surface imaging: a tutorial , 2011 .

[9]  Jiangtao Xi,et al.  Study on Generalized Analysis Model for Fringe Pattern Profilometry , 2008, IEEE Transactions on Instrumentation and Measurement.

[10]  John G. Proakis,et al.  Digital Signal Processing: Principles, Algorithms, and Applications , 1992 .

[12]  Giovanna Sansoni,et al.  Calibration and performance evaluation of a 3-D imaging sensor based on the projection of structured light , 2000, IEEE Trans. Instrum. Meas..

[13]  Klaus C. J. Dietmayer,et al.  Monocular 3D shape reconstruction using deep neural networks , 2016, 2016 IEEE Intelligent Vehicles Symposium (IV).

[14]  Tokuo Tsuji,et al.  High-speed 3D image acquisition using coded structured light projection , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

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

[16]  Reinhard Klette,et al.  Computer vision - three-dimensional data from images , 1998 .

[17]  Zheng Geng,et al.  Rainbow three‐dimensional camera: new concept of high‐speed three‐dimensional vision systems , 1996 .

[18]  K. Reichard,et al.  Calibration-based phase-shifting projected fringe profilometry for accurate absolute 3D surface profile measurement , 2003 .

[19]  G. Sansoni,et al.  Three-dimensional imaging based on Gray-code light projection: characterization of the measuring algorithm and development of a measuring system for industrial applications. , 1997, Applied optics.

[20]  Gabriel Taubin,et al.  Simple, Accurate, and Robust Projector-Camera Calibration , 2012, 2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission.

[21]  Paulo J. Tavares,et al.  Linear calibration procedure for the phase-to-height relationship in phase measurement profilometry , 2007 .

[22]  Andrew W. Fitzgibbon,et al.  KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera , 2011, UIST.

[23]  C. Liguori,et al.  An easy and accurate calibration procedure for 3-D shape measurement system based on phase-shifting projected fringe profilometry , 2008, 2008 IEEE Instrumentation and Measurement Technology Conference.

[24]  Sai Siva Gorthi,et al.  Fringe projection techniques: Whither we are? , 2010 .

[25]  Ma Qinwei,et al.  Automatic Human Face Sculpture Using 3D Shape Measurement and Reconstruction Technology , 2010, 2010 International Conference on Digital Manufacturing & Automation.