In fringe projection profilometry, using denser fringes can improve the measurement accuracy. In real-time measurement situations, the number of the fringe pattern is limited to reduce motion-induced errors, which, however, poses more difficulties for the absolute phase recovery from dense fringes. In this paper, we propose a stereo phase matching method that takes advantage of the high-accuracy of denser fringes and the high-efficiency of using only two different frequencies of fringes. The phase map is divided into several sub-areas and in each sub-area, the phase is unwrapped independently. The correct matched pixel is easily selected from the distributed candidates in different sub-area with the help of geometry constraints.
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