Active Stereo Without Pattern Projector
This enables virtual active stereo setups in any environment, overcoming limitations like limited working range or environmental conditions for users of stereo vision systems.
The paper tackles the problem of active stereo systems requiring physical pattern projectors by proposing a framework that virtually projects patterns onto images from standard passive cameras using sparse depth sensor measurements. The approach boosts stereo algorithm and deep network accuracy in indoor/outdoor datasets with long and close-range scenarios.
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.