An optimized phase-shifting algorithm for depth image acquisition
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As developing science and technology, traditional two-dimensional computer vision cannot meet the people’s needs for the three-dimensional recognition, and the depth information 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 errors.
KeywordsDepth acquiring Phase shifting algorithm Structured light Optimization
This research is supported by the National Natural Science Foundation of China (61662057, 61672143, U1435216), the Fundamental Research Funds for the Central Universities (N162504007, N161602003, N151704004), the Doctor Research Starting Foundation of Liaoning (20141011).
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