TY  - CHAP
AU  - Mathieu Nicolas Delalandre
AU  - Jean-Yves Ramel
AU  - Ernest Valveny
AU  - Muhammad Muzzamil Luqman
A2  - GREC
PY  - 2010//
TI  - A Performance Characterization Algorithm for Symbol Localization
T2  - LNCS
BT  - Graphics Recognition. Achievements, Challenges, and Evolution. 8th International Workshop, GREC 2009. Selected Papers
SP  - 260–271
VL  - 6020
PB  - Springer Berlin Heidelberg
N2  - In this paper we present an algorithm for performance characterization of symbol localization systems. This algorithm is aimed to be a more “reliable” and “open” solution to characterize the performance. To achieve that, it exploits only single points as the result of localization and offers the possibility to reconsider the localization results provided by a system. We use the information about context in groundtruth, and overall localization results, to detect the ambiguous localization results. A probability score is computed for each matching between a localization point and a groundtruth region, depending on the spatial distribution of the other regions in the groundtruth. Final characterization is given with detection rate/probability score plots, describing the sets of possible interpretations of the localization results, according to a given confidence rate. We present experimentation details along with the results for the symbol localization system of [1], exploiting a synthetic dataset of architectural floorplans and electrical diagrams (composed of 200 images and 3861 symbols).
SN  - 0302-9743
SN  - 978-3-642-13727-3
UR  - http://dx.doi.org/10.1007/978-3-642-13728-0_24
N1  - DAG
ID  - Mathieu Nicolas Delalandre2010
ER  -