STRUCTURED-LIGHT-BASED DEPTH RECONSTRUCTION USING LOW-LIGHT PICO PROJECTOR

Authors

  • THOMAS RITTLER Institute of Software Technology and Interactive Systems, Vienna University of Technology, Favoritenstrasse 9-11 1040 Vienna, Austria
  • FLORIAN SEITNER emotion3D GmbH, Gartengasse 21/3 1050 Vienna, Austria
  • MARGRIT GELAUTZ Institute of Software Technology and Interactive Systems, Vienna University of Technology, Favoritenstrasse 9-11 1040 Vienna, Austria

Keywords:

Structured light, low-light projector, image recti cation, pattern segmenta- tion

Abstract

In this work we investigate an infrared structured light prototype which is intended for 3D reconstruction in resource-restricted mobile applications. We explore the constraints on working range and pattern resolution that are imposed by the low-light property of our single-shot set-up. While focusing on the most light-sensitive steps of the decoding work ow, we suggest adaptations of image rectication, pattern generation and segmen- tation algorithms that are tailored to the specic spatial and radiometric requirements of our system. We incorporate two disparity estimation techniques based on codeword look- up and foreground/background segmentation into our system and analyze the eects of dierent algorithmic components on the overall runtime of our implementation.

 

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References

L. De-Maeztu, S. Mattoccia, A. Villanueva, and R. Cabeza. Linear stereo matching. In IEEE

International Conference on Computer Vision, pages 1708 { 1715, 2011.

J. Geng. Structured-light 3d surface imaging: a tutorial. Advances in Optics and Photonics,

(2):128{160, June 2011.

A. Hosni, C. Rhemann, M. Bleyer, C. Rother, and M. Gelautz. Fast cost volume ltering for visual

correspondence and beyond. IEEE Transactions on Pattern Analysis and Machine Intelligence,

(2):504{511, 2013.

T. Jia, Z. Zhou, and H. Gao. Depth measurement based on infrared coded structured light. Journal

of Sensors, 2014:1{8, 2014.

H. Kawasaki, R. Furukawa, R. Sagawa, and Y. Yagi. Dynamic scene shape reconstruction using a

single structured light pattern. In Proceedings of the IEEE Conference on Computer Vision and

Pattern Recognition (CVPR), pages 1{8, June 2008.

Y. Lei, K. Bengtson, L. Li, and J. Allebach. Design and decoding of an m-array pattern for low-

cost structured light 3d reconstruction systems. In 20th IEEE International Conference on Image

Processing (ICIP), pages 2168{2172, Sept. 2013.

R. A. Morano, C. Ozturk, R. Conn, S. Dubin, S. Zietz, and J. Nissanov. Structured light using

pseudorandom codes. IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI),

(3):322{327, Mar. 1998.

D. Moreno and G. Taubin. Simple, accurate, and robust projector-camera calibration. In Proceed-

ings of the Second International Conference on 3D Imaging, Modeling, Processing, Visualization

and Transmission (3DIMPVT), pages 464{471, Oct. 2012.

N. Otsu. A threshold selection method from gray-level histograms. IEEE Transactions on Systems,

Man and Cybernetics, 9(1):62{66, Jan 1979.

J. Salvi, S. Fernandez, T. Pribanic, and X. Llado. A state of the art in structured light patterns

for surface pro lometry. Pattern Recognition, 43(8):2666 { 2680, 2010.

J. Salvi, J. Pages, and J. Batlle. Pattern codi cation strategies in structured light systems. Pattern

Recognition, 37(4):827 { 849, 2004.

D. Scharstein and R. Szeliski. A taxonomy and evaluation of dense two-frame stereo correspon-

dence algorithms. International Journal of Computer Vision, 47(1/2/3):7 { 42, 2002.

D. Scharstein and R. Szeliski. High-accuracy stereo depth maps using structured light. In Pro-

ceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

(CVPR), volume 1, pages I:195{I:202, June 2003.

Y. Taguchi, A. Agrawal, and O. Tuzel. Motion-aware structured light using spatio-temporal

decodable patterns. In Proceedings of the 12th European Conference on Computer Vision - Volume

Part V (ECCV), pages 832{845, 2012.

L. Zhang, B. Curless, and S. M. Seitz. Rapid shape acquisition using color structured light and

multi-pass dynamic programming. In Proceedings of the 1st IEEE International Symposium on

D Data Processing, Visualization, and Transmission (3DPVT), pages 24{36, 2002.

Z. Zhang. A

exible new technique for camera calibration. IEEE Transactions on Pattern Analysis

and Machine Intelligence (TPAMI), 22(11):1330{1334, Nov. 2000.

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Published

2016-08-31

How to Cite

RITTLER, T. ., SEITNER, F. ., & GELAUTZ, M. . (2016). STRUCTURED-LIGHT-BASED DEPTH RECONSTRUCTION USING LOW-LIGHT PICO PROJECTOR. Journal of Mobile Multimedia, 12(1-2), 125–137. Retrieved from https://journals.riverpublishers.com/index.php/JMM/article/view/4489

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