结构光三维重建是计算机视觉与自动化领域的重要研究方向，其中以基于正弦相位移原理的结构光方法研究最为广泛，而这种以灰度值计算相位信息的编码策略对于非朗伯表面存在明显的鲁棒性不足问题。本项目拟研究一种基于二值编码原理的高鲁棒性结构光编解码策略，前期研究工作已初步验证了二值化的结构编码特征较灰度信息具有更强的特征保持和鲁棒特性，作为该工作的延续，本项目研究内容主要包括：1）二值编码策略的优化，提高算法自适应性并减少编码图片数量；2）强反射条件下，边缘编码特征的精确鲁棒定位；3）多角度三维重建数据的自动拼接和融合；4）非可见光条件下，二值结构光编解码算法的研究。通过解决上述问题，实现在不经喷涂处理条件下复杂反射表面的直接高精度三维重建，通过非可见结构光方法的研究，以期从根源上消除或抑制表面反射特性的影响，进而显著提高结构光技术的实用性，并大大拓展其应用范围，因而具有重要的研究价值和产业应用前景。

Structured Light Sensing (SLS)-based 3D reconstruction technique is an important research topic in both computer vision and automation domains. As the representative SLS approach, the Sinusoidal Phase Shifting-based SLS means tend to calculate precise phase values from the sequentially projected gray-level patterns. Such intensity-based SLS methods are usually impractical to the object surfaces with non-Lambert surface subject to the surface reflection and textures etc. That is also the major obstacle for the wide applications of SLS techniques in industries. To solve this problem, this proposal presents a novel binary coded SLS methdology. Compared with the intensity-based coding features, the binary coding features can outperform in both structure preservation and robustness. Such advantages also have been demonstrated in our previous research works. As a continuation of previous work, this proposal will focus on following key research problems: a) Optimization of the proposed binary coding strategy, so as to make the coding scheme more adaptive as well as to reduce the pattern numbers demanded; b) Robust and precise binary feature localization algorithm, so as to make the SLS more robust in deal with highly reflective surfaces; c) Automatic alignment of 3D point clouds that obtained from various view-points and their merging; d) Investigate the feasibility of SLS with invisible light sources, and the research of coding and decoding algorithms for the invisble SLS. By solving above key problems, this proposal aims to realize direct and precise 3D reconstruction of reflective surfaces without the onerous surface painting procedure. Via the research of invisible SLS method, the influence caused by surface reflecion is expected to be removed or greatly restrained, so as to further improve the 3D reconstruction quality. With these research contributions, the practicability of SLS techniques can be improved distinctly, and its application fields can also be greatly extended.