Indoor 3D Reconstruction with an Unknown Camera-Projector Pair
arxiv(2024)
摘要
Structured light-based method with a camera-projector pair (CPP) plays a
vital role in indoor 3D reconstruction, especially for scenes with weak
textures. Previous methods usually assume known intrinsics, which are
pre-calibrated from known objects, or self-calibrated from multi-view
observations. It is still challenging to reliably recover CPP intrinsics from
only two views without any known objects. In this paper, we provide a simple
yet reliable solution. We demonstrate that, for the first time, sufficient
constraints on CPP intrinsics can be derived from an unknown cuboid corner
(C2), e.g. a room's corner, which is a common structure in indoor scenes. In
addition, with only known camera principal point, the complex multi-variable
estimation of all CPP intrinsics can be simplified to a simple univariable
optimization problem, leading to reliable calibration and thus direct 3D
reconstruction with unknown CPP. Extensive results have demonstrated the
superiority of the proposed method over both traditional and learning-based
counterparts. Furthermore, the proposed method also demonstrates impressive
potential to solve similar tasks without active lighting, such as sparse-view
structure from motion.
更多查看译文
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要