Publikation
Improvements to Uncalibrated Feature-based Stereo Matching for Document Images by using Text-Line Segmentation
Muhammed Zeeshan Afzal; Martin Krämer; Syed Saqib Bukhari; Faisal Shafait; Thomas Breuel
In: IAPR International Workshop on Document Analysis Systems. IAPR International Workshop on Document Analysis Systems (DAS-12), 10th, March 27-29, Gold Coast, Queensland, Australia, IEEE, 3/2012.
Zusammenfassung
Document images prove to be a difficult case
for standard stereo correspondence approaches. One of the
major problem is that document images are highly self-similar.
Most algorithms try to tackle this problem by incorporating a
global optimization scheme, which tends to be computationally
expensive. In this paper, we show that incorporation of layout
information into the matching paradigm, as a grouping entity
for features, leads to better results in terms of robustness,
efficiency, and ultimately in a better 3D model of the captured
document, that can be used in various document restoration
systems. This can be seen as a divide and conquer approach
that partitions the search space into portions given by each
grouping entity and then solves each of them independently.
As a grouping entity text-lines are preferred over individual
character blobs because it is easier to establish correspondences. Text-line extraction works reasonably well on stereo
image pairs in the presence of perspective distortions. The
proposed approach is highly efficient and matches obtained
are more reliable. The claims are backed up by showing their
practical applicability through experimental evaluations.