Towards an Improved Method of Dense 3D Object Reconstruction in Structured Light Scanning

Optical three-dimensional shape measurement based on structured light has been widely used for 3D measurement in many different applications. Phase Shifting acquisition methods have been extensively used in these measurements, since they offer robustness against ambient light and reflections variation, but they need a phase unwrapping procedure and further phase-to-height conversions after complex calibrations. Although there have been different proposals last years, the design of an accurate and efficient 3D object reconstruction method is still an open issue. In this paper, we propose a new method of 3D object reconstruction that combines the benefits shown by Multi Phase Shifting and the potential of a phase-to-height mapping that uses implicit calibration. The performance evaluation, measured on virtual environments, show that the proposed method can efficiently deal with the sharp edges of the 3D reconstructed objects, removing the erroneous geometries, while it also avoids the need to geometrically calibrate the projector, a massive time consuming task that produces many problems related to the projector lens distortions. These results validate this proposal as an efficient method for 3D object reconstruction.

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

[2]  X Peng,et al.  Multi-frequency and multiple phase-shift sinusoidal fringe projection for 3D profilometry. , 2005, Optics express.

[3]  Song Zhang,et al.  High-resolution, real-time three-dimensional shape measurement , 2006 .

[4]  Yingchun Wu,et al.  Improved algorithm for phase-to-height mapping in phase measuring profilometry. , 2012, Applied optics.

[5]  Joaquim Salvi,et al.  ' s personal copy Efficient multiple phase shift patterns for dense 3 D acquisition in structured light scanning , 2010 .

[6]  Louis A. Romero,et al.  Robust two-dimensional weighted and unweighted phase unwrapping that uses fast transforms and iterative methods , 1994 .

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

[8]  Qian Luo,et al.  Fringe projection profilometry based on a novel phase shift method. , 2011, Optics express.

[9]  Joan Lasenby,et al.  Simulation of breathing for medical applications , 2011, SIGGRAPH '11.

[10]  Joaquim Salvi,et al.  A state of the art in structured light patterns for surface profilometry , 2010, Pattern Recognit..

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

[12]  Luiz Ricardo Nakamura,et al.  A Marker-Free Calibration and Registration Process for Multiple Depth Maps from Structured Light Sensors and its Application in Video Avatar Systems , 2013, 2013 XV Symposium on Virtual and Augmented Reality.

[13]  Qican Zhang,et al.  Universal calculation formula and calibration method in Fourier transform profilometry. , 2010, Applied optics.

[14]  Tong Guo,et al.  Complete calibration of a phase-based 3D imaging system based on fringe projection technique , 2011, International Conference on Optical Instruments and Technology.

[15]  V. Srinivasan,et al.  Automated phase-measuring profilometry of 3-D diffuse objects. , 1984, Applied optics.

[16]  Wei Wang,et al.  Three-dimensional profile measurement of the blade based on surface structured light , 2013 .

[17]  Tong Guo,et al.  Simple calibration of a phase-based 3D imaging system based on uneven fringe projection. , 2011, Optics letters.

[18]  M. Takeda,et al.  Fourier transform profilometry for the automatic measurement of 3-D object shapes. , 1983, Applied optics.

[19]  Youfu Li,et al.  Self-recalibration of a structured light system via plane-based homography , 2007, Pattern Recognit..