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.

该论文提出了一个新的框架，将主动视觉的原理与标准无源相机系统集成，无需物理图案投影器。我们根据深度传感器获得的稀疏测量，在左右图像上虚拟投影图案。任何此类设备都可以无缝地插入我们的框架，从而在任何可能的环境中部署虚拟主动视觉设置，克服了图案投影器的限制，如工作范围有限或环境条件限制。针对室内/室外数据集的实验证明了我们方法的无缝有效性，提高了立体算法和深度网络的准确性。

无纹投影主动立体视觉