Real-time three-dimensional reconstruction is increasingly important in many fields. However, it is a challenge for the conventional digital fringe projection technique. The binary defocusing technique applied to the digital fringe projection technique not only significantly improves the real-time performance but also fundamentally eliminates the nonlinearity of the projector. In the existing techniques, the dithering techniques based on optimization are superior to the others. However, those optimization methods have two obvious drawbacks: the objective function just qualifies the global intensity similarity while ignoring the local similarity, and the optimization framework is inefficient or time consuming. This paper first presents a novel objective function consisting of a global intensity term and a local structure term to comprehensively evaluate similarity. Second, a model optimization framework, which includes a hybrid optimization algorithm and a half period optimization idea, is employed. Both simulations and experimental results show the advantages of the proposed objective function and the optimization framework, as well as the improvement of quality and speed of 3D reconstruction. (C) 2017 Optical Society of America
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