This work presents a new low-level real-time algorithm for simultaneous edge drawing and disparity calculation in stereo image pairs. It works by extending the principles from the ED algorithm, a fast and robust edge detector able to produce one pixel-wide chains of pixels for the edges in the image. In this paper the ED algorithm is extended to run simultaneously on both images in a stereo-pair. The disparity information is obtained by matching only a few anchor points and then propagating those disparities along the image edges. This allows the reduction of computational costs compared to other edge-based algorithms, as only a few pixels require to be matched, and avoids the problems present in other edge-point based approaches. The experiments show that this new approach is able to obtain accuracies similar to other state-of-the-art approaches but with a reduced number of computations.
CITATION STYLE
Peña, D., & Sutherland, A. (2017). Disparity estimation by simultaneous edge drawing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10117 LNCS, pp. 124–135). Springer Verlag. https://doi.org/10.1007/978-3-319-54427-4_10
Mendeley helps you to discover research relevant for your work.