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Demo: Depth estimation for 1K-pixel stereo visual sensors Host Publication: Distributed Smart Cameras (ICDSC), 2013 Seventh International Conference on Authors: J. Hanca, F. Verbist, N. Deligiannis, R. Kleihorst and A. Munteanu Publisher: IEEE Publication Date: Oct. 2013 Number of Pages: 3 ISBN: 978-1-4799-2166-9
Abstract: This demonstrator explores the applicability of depth estimation based on stereo video with extremely low
resolution, i.e., 3030 pixels. To handle this resolution, this paper proposes a disparity estimation technique, composed of local correlation-based matching of two low-resolution stereo images followed by segmentation-driven post-processing. The demonstrator includes a setup where a stereo visual sensor is
connected to a laptop computer, running the proposed depth estimation method in real-time 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.
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