15 December 2017 Three-dimensional sensing methodology combining stereo vision and phase-measuring profilometry based on dynamic programming
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Abstract
Phase measuring profilometry and moiré methodology have been widely applied to the three-dimensional shape measurement of target objects, because of their high measuring speed and accuracy. However, these methods suffer from inherent limitations called a correspondence problem, or 2π-ambiguity problem. Although a kind of sensing method to combine well-known stereo vision and phase measuring profilometry (PMP) technique simultaneously has been developed to overcome this problem, it still requires definite improvement for sensing speed and measurement accuracy. We propose a dynamic programming-based stereo PMP method to acquire more reliable depth information and in a relatively small time period. The proposed method efficiently fuses information from two stereo sensors in terms of phase and intensity simultaneously based on a newly defined cost function of dynamic programming. In addition, the important parameters are analyzed at the view point of the 2π-ambiguity problem and measurement accuracy. To analyze the influence of important hardware and software parameters related to the measurement performance and to verify its efficiency, accuracy, and sensing speed, a series of experimental tests were performed with various objects and sensor configurations.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Hyunki Lee, Hyunki Lee, Min Young Kim, Min Young Kim, Jeon Il Moon, Jeon Il Moon, "Three-dimensional sensing methodology combining stereo vision and phase-measuring profilometry based on dynamic programming," Optical Engineering 56(12), 124107 (15 December 2017). https://doi.org/10.1117/1.OE.56.12.124107 . Submission: Received: 1 September 2017; Accepted: 28 November 2017
Received: 1 September 2017; Accepted: 28 November 2017; Published: 15 December 2017
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