Simultaneous Bi-directional Structured Light Encoding for Practical Uncalibrated Profilometry

Profilometry based on structured light is one of the most popular methods for 3D reconstruction. It is widely used when high-precision and dense models, for a variety of different objects, are required. User-friendly procedures encode the scene in horizontal and vertical directions, which allows a unique description of points in the scene. The resulting encoding, can be used to autocalibrate the devices used. Thus, any consumer or industrial cameras or projectors can be supported and the procedure is not limited to pre-calibrated setups. This approach is extremely flexible, but requires a large number of camera acquisitions of the scene with multiple patterns projected. This paper presents a new approach that encodes the scene simultaneously in horizontal and vertical directions using sinusoidal fringe patterns. This allows to almost halve the number of recorded images, making the approach attractive again for many practical applications with time aspects.

[1]  Didier Stricker,et al.  Robust Auto-Calibration for Practical Scanning Setups from Epipolar and Trifocal Relations , 2019, 2019 16th International Conference on Machine Vision Applications (MVA).

[2]  Li Zhang,et al.  Rapid shape acquisition using color structured light and multi-pass dynamic programming , 2002, Proceedings. First International Symposium on 3D Data Processing Visualization and Transmission.

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

[4]  C Guan,et al.  Composite structured light pattern for three-dimensional video. , 2003, Optics express.

[5]  G. Sansoni,et al.  A 3D vision system based on one-shot projection and phase demodulation for fast profilometry , 2005 .

[6]  Didier Stricker,et al.  Stable Intrinsic Auto-Calibration from Fundamental Matrices of Devices with Uncorrelated Camera Parameters , 2020, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).

[7]  Nay Oo,et al.  On Harmonic Addition Theorem , 2012 .

[8]  Song Zhang Recent progresses on real-time 3D shape measurement using digital fringe projection techniques , 2010 .

[9]  Ludovico Minto,et al.  Time-of-Flight and Structured Light Depth Cameras , 2016, Springer International Publishing.

[10]  Sang Wook Lee,et al.  Color-Phase Analysis for Sinusoidal Structured Light in Rapid Range Imaging , 2015, ArXiv.

[11]  ZhenZhou Wang,et al.  Single-shot three-dimensional reconstruction based on structured light line pattern , 2018, Optics and Lasers in Engineering.

[12]  Song Zhang,et al.  Three-dimensional shape measurement using a structured light system with dual cameras , 2008 .

[13]  A. Espinosa-Romero,et al.  Wavefront reconstruction using multiple directional derivatives and Fourier transform , 2011 .

[14]  Kiriakos N. Kutulakos,et al.  Optimal Structured Light a la Carte , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[15]  J A Quiroga,et al.  The general theory of phase shifting algorithms. , 2009, Optics express.

[16]  Guangming Shi,et al.  Single-shot dense depth sensing with frequency-division multiplexing fringe projection , 2017, J. Vis. Commun. Image Represent..

[17]  Didier Stricker,et al.  Fast Projector-Driven Structured Light Matching in Sub-pixel Accuracy Using Bilinear Interpolation Assumption , 2021, CAIP.