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.

中文翻译：

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基于无约束双投影互补解码的二进制散焦技术

二值散焦技术可以有效打破硬件速度的限制，在实时三维（3D）重建中得到了广泛的应用。此外，融合技术可以减少 3D 场景的捕获图像数量，这有助于提高实时性能。遗憾的是，二元散焦技术和融合技术很难同时工作。为此，我们的研究建立了一个由双投影仪和相机组成的新颖系统框架，其中对双投影仪的位置和姿势没有严格要求。而且，双投影仪可以独立调整散焦级别。基于此，本文提出了一种无约束双投影的互补解码方法。核心思想是将低分辨率信息用于高分辨率相位展开。为此，我们开发了基于周期性空时编码模式的低分辨率深度提取策略和条纹从低分辨率阶到高分辨率阶的方法。最后，实验结果证明了我们提出的方法的性能，并且所提出的方法对于 3D 场景只需要三张图像，并且具有很强的鲁棒性、扩展性和实现性。