Where is the hole punch? Object localization capabilities on a specific bureau task
In this paper, knowledge-based recognition of objects in a bureau scene is studied
and compared using two different systems on a common data set: In the first system
active scene exploration is based on semantic networks and an A*-control algorithm
which uses color cues and 2-d image segmentation into regions. The other system is
based on production nets and uses line extraction and views of 3-d polyhedral models.
For the latter a new probabilistic foundation is given. In the experiments,
wide-angle overviews are used to generate hypotheses. The active component then takes
close-up views which are verified exploiting the knowledge bases, i.e. either the
semantic network or the production net.
Michaelsen E, Ahlrichs U, Stilla U, Paulus D, Niemann H (2001)
Where is the hole punch? Object localization capabilities on a specific bureau task.
In: Radig B, Florczyk S (eds) Pattern Recognition,
23rd DAGM Symposium,
Berlin: Springer,
337-344
[ Stilla.de/pub ]