| Authors |
Hartl Andreas, Arth Clemens |
| Appeared in |
Proceedings of CESCG 2010: The 14th Central European Seminar on Computer Graphics (non-peer-reviewed) |
| Date |
May 2010 |
| Abstract |
In this work we present a mobile computer vision system
which simplifies the task of identifying pharmaceutical
pills. A single input image of pills on a special markerbased
target is processed by an efficient method for object
segmentation on structured background. Estimators
for the object properties size, shape and color deliver parameters
that can be used for querying an online database
about an unknown pill. A prototype application is constructed
using the Studierstube ES framework, which allows
to perform pill recognition on off-the-shelf mobile
phones. System runtime and retrieval performance with
the estimated features is subsequently evaluated on a realistic
test set. The retrieval performance on the exemplarily
used Identa database confirms that the system can facilitate
the task of mobile pill recognition in a realistic scenario. |
| Link |
none |
