Abstract
Binary defocusing technique can effectively break the limitation of hardware speed, which has been widely used in the real-time three-dimensional (3D) reconstruction. In addition, fusion technique can reduce captured images count for a 3D scene, which helps to improve real-time performance. Unfortunately, it is difficult for binary defocusing technique and fusion technique working simultaneously. To this end, our research established a novel system framework consisting of dual projectors and a camera, where the position and posture of the dual projectors are not strictly required. And, the dual projectors can adjust defocusing level independently. Based on this, this paper proposed a complementary decoding method with unconstrained dual projectors. The core idea is that low-resolution information is employed for high-resolution phase unwrapping. For this purpose, we developed the low-resolution depth extraction strategy based on periodic space-time coding patterns and the method from the low-resolution order to high-resolution order of fringe. Finally, experimental results demonstrated the performance of our proposed method, and the proposed method only requires three images for a 3D scene, as well as has strong robustness, expansibility, and implementation.
Highlights
Fringe projection profilometry (FPP) plays an important role in some academia and applied fields, such as product inspection, reverse engineering, and computer animation, because of its advantages of being high precision, full field, and nondestructive [1–5]
We present a novel binary defocusing technique based on complementary decoding with unconstrained dual projectors
Principle we theoretically represent the binary defocusing technique (BDT) based on complementary decoding with unconstrained dual projectors
Summary
Fringe projection profilometry (FPP) plays an important role in some academia and applied fields, such as product inspection, reverse engineering, and computer animation, because of its advantages of being high precision, full field, and nondestructive [1–5]. Complementary decoding method with unconstrained dual EVMs The proposed novel method only obtains three captured images for a 3D scene reconstruction regardless of the position and posture between the two EVMs. The core idea is that low-resolution information is employed for high-resolution phase unwrapping. Section 2.B.2 proposes the low-resolution depth extraction strategy based on periodic space-time coding patterns, which is used to solve DLDES (xlow, ylow). The strategy is described that the wrapped phase map are segmented into several connected regions, where the low-resolution orders n (xlow, ylow) extend to the high-resolution orders n (xhigh, yhigh). Because the wrapped phase regions corresponding to the flat intervals in flag map only contains the first phase discontinuity, the low-resolution orders n (xlow, ylow) can be extended to the high-resolution orders n (xhigh, yhigh) with the spatial phase unwrapping method.
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