Robust Stereo Correspondence for Documents by Matching Connected Components of Text-Lines with Dynamic Programming
Kramer, M., Muhammad Zeshan Afzal, Syed Saqib Bukhari, Faisal Shafait, Thomas Michael Breuel · UWA Profiles and Research Repository (UWA) · 2012
In this paper we present a novel method for robust stereo matching on document image pairs. The matching itself is performed using an affine-invariant similarity measurement to compensate for perspective distortions, where affine invariance is achieved by normalization using second-order statistics, to finally allow a simple pixel-wise comparison. To handle the inherent high self-similarity of the page content we apply a dynamic programming approach on text-line pairs. We quantitatively show that the proposed method performs better in comparison to standard approaches using SURF — whether with or without incorporating text-line information.