This paper proposes a novel framework integrating the principles of active stereo in standard passive camera systems without a physical pattern projector. We virtually project a pattern over the left and right images according to the sparse measurements obtained from a depth sensor. Any such devices can be seamlessly plugged into our framework, allowing for the deployment of a virtual active stereo setup in any possible environment, overcoming the limitation of pattern projectors, such as limited working range or environmental conditions. Experiments on indoor/outdoor datasets, featuring both long and close-range, support the seamless effectiveness of our approach, boosting the accuracy of both stereo algorithms and deep networks.

翻译：本文提出了一种新颖的框架，该框架将无物理图案投影仪的标准无源相机系统中的有源立体视觉原理相结合。我们根据深度传感器获取的稀疏测量值，在左右图像上虚拟投影图案。任何此类设备均可无缝集成到我们的框架中，从而在任何可能的环境中部署虚拟有源立体视觉系统，克服了图案投影仪在有限工作范围或环境条件等方面的局限性。在室内/室外数据集（涵盖远距离和近距离场景）上的实验证明了我们方法的无缝有效性，显著提升了立体视觉算法和深度网络的精度。