Massively Parallel Multiclass Object Recognition
View/
Date
2010Pay-Per-View via TIB Hannover:
Try if this item/paper is available.
Metadata
Show full item recordAbstract
We present a massively parallel object recognition system based on a cortex-like structure. Due to its nature, this general, biologically motivated system can be parallelized efficiently on recent many-core graphics processing units (GPU). By implementing the entire pipeline on the GPU, by rigorously optimizing memory bandwidth and by minimizing branch divergence, we achieve significant speedup compared to both recent CPU as well as GPU implementations for reasonably sized feature dictionaries. We demonstrate an interactive application even on a less powerful laptop which is able to classify webcam images and to learn novel categories in real time.
BibTeX
@inproceedings {10.2312:PE:VMV:VMV10:251-257,
booktitle = {Vision, Modeling, and Visualization (2010)},
editor = {Reinhard Koch and Andreas Kolb and Christof Rezk-Salama},
title = {{Massively Parallel Multiclass Object Recognition}},
author = {Sedding, Helmut and Deger, Ferdinand and Dammertz, Holger and Bouecke, Jan and Lensch, Hendrik P. A.},
year = {2010},
publisher = {The Eurographics Association},
ISBN = {978-3-905673-79-1},
DOI = {10.2312/PE/VMV/VMV10/251-257}
}
booktitle = {Vision, Modeling, and Visualization (2010)},
editor = {Reinhard Koch and Andreas Kolb and Christof Rezk-Salama},
title = {{Massively Parallel Multiclass Object Recognition}},
author = {Sedding, Helmut and Deger, Ferdinand and Dammertz, Holger and Bouecke, Jan and Lensch, Hendrik P. A.},
year = {2010},
publisher = {The Eurographics Association},
ISBN = {978-3-905673-79-1},
DOI = {10.2312/PE/VMV/VMV10/251-257}
}