TY  - BOOK
AB  - In this paper we propose the Adaptive Scene Dependent Filters (ASDF) to enhance the online learning capabilities of an object recognition system in real-world scenes. The ASDF method proposed extends
the idea of unsupervised segmentation to a flexible, highly dynamic image
segmentation architecture. We combine unsupervised segmentation to define coherent groups of pixels with a recombination step using top-down
information to determine which segments belong together to the object.
We show the successful application of this approach to online learning in
cluttered environments.
DA  - 2006
KW  - CoR-Lab Publication
LA  - eng
PY  - 2006
TI  - Adaptive scene-dependent filters in online learning environments
UR  - https://nbn-resolving.org/urn:nbn:de:0070-pub-21421519
Y2  - 2024-12-25T06:06:02
ER  -