An optimized phase-shifting algorithm for depth image acquisition

An optimized phase-shifting algorithm for depth image acquisition Multimed Tools Appl https://doi.org/10.1007/s11042-018-6007-4 An optimized phase-shifting algorithm for depth image acquisition 1 2 1 2 Hui Liu & Beilei Wang & Fusheng Yan & Jie Song Received: 30 September 2017 /Revised: 23 January 2018 /Accepted: 16 April 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract As developing science and technology, traditional two-dimensional computer vision cannot meet the people’s needs for the three-dimensional recognition, and the depth informa- tion of objects are required by more and more applications. Recently, structured light has become one of the core techniques of depth acquisition. The main idea of the approach is first projecting pre-designed pattern onto objects, then capturing an image and processing further. In a structured light system, the phase-shifting algorithm, which is a depth acquiring algorithm for sinusoidal pattern, is discussed in this paper, and is argued that its performance weakness for applying in the real time environments. Then we propose the performance optimization on its phase wrapping step and phase unwrapping step, respectively. Finally, we compare acquiring results and advantages as well as disadvantages of them by experiments results. Experiments show that the optimized phase-shifting algorithm is 4.6× faster than the original one with the ignorable http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Multimedia Tools and Applications Springer Journals

An optimized phase-shifting algorithm for depth image acquisition

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Publisher
Springer US
Copyright
Copyright © 2018 by Springer Science+Business Media, LLC, part of Springer Nature
Subject
Computer Science; Multimedia Information Systems; Computer Communication Networks; Data Structures, Cryptology and Information Theory; Special Purpose and Application-Based Systems
ISSN
1380-7501
eISSN
1573-7721
D.O.I.
10.1007/s11042-018-6007-4
Publisher site
See Article on Publisher Site

Abstract

Multimed Tools Appl https://doi.org/10.1007/s11042-018-6007-4 An optimized phase-shifting algorithm for depth image acquisition 1 2 1 2 Hui Liu & Beilei Wang & Fusheng Yan & Jie Song Received: 30 September 2017 /Revised: 23 January 2018 /Accepted: 16 April 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract As developing science and technology, traditional two-dimensional computer vision cannot meet the people’s needs for the three-dimensional recognition, and the depth informa- tion of objects are required by more and more applications. Recently, structured light has become one of the core techniques of depth acquisition. The main idea of the approach is first projecting pre-designed pattern onto objects, then capturing an image and processing further. In a structured light system, the phase-shifting algorithm, which is a depth acquiring algorithm for sinusoidal pattern, is discussed in this paper, and is argued that its performance weakness for applying in the real time environments. Then we propose the performance optimization on its phase wrapping step and phase unwrapping step, respectively. Finally, we compare acquiring results and advantages as well as disadvantages of them by experiments results. Experiments show that the optimized phase-shifting algorithm is 4.6× faster than the original one with the ignorable

Journal

Multimedia Tools and ApplicationsSpringer Journals

Published: May 29, 2018

References

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