Demo: depth estimation for 1K-pixel stereo visual sensors

This demonstrator explores the applicability of depth estimation based on stereo video with extremely low resolution, i.e., 30×30 pixels. To handle this resolution, a disparity estimation technique, composed of local correlation-based matching of two low-resolution stereo images followed by segmentation-driven post-processing, is proposed. The demonstrator includes a setup where a stereo visual sensor is connected to a laptop computer, running the proposed depth estimation method in realtime and displaying the resulting disparity maps. In addition, an interface is available to give the user control over the proposed algorithm parameters. To illustrate the superior performance, the results of proposed method can be readily compared to disparity maps generated using a typical global correlation-based depth estimation algorithm.