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Selected Readings in
Vision and Graphics
edited by Luc Van Gool, Gábor Székely,
Markus Gross, Bernt Schiele
Volume 69
Alain D.
Lehmann,
Efficient Object Detection.
2011. XII, 142 pages. EUR 64,00.
ISBN 978-3-86628-405-0
A
long-term goal of computer vision is to interpret visual sceneries, in other words,
to let computer perceive like humans do. To this end, computers have to
localise and categorise objects in images. This fundamental task is called
object detection and is the subject of this work. The difficulty of this task
lies in the vast number of possible object locations and the strong variations
of an object's appearance.
This
dissertation focuses on efficient localisation; we analyse and discuss several
strategies. These investigations lead to a novel branch&rank
algorithm that detects with often less than 100 ranking operations. This allows
for rich appearance models (like non-linear SVMs) which
eventually improves overall performance.
About the
author
Alain D. Lehmann received his
PhD degree (Dr. Sc. ETH) in 2011 and his MSc in Computer
Science ETH in 2006, both from ETH Zurich. During his studies he visited
various research laboratories across Europe, namely IRISA Rennes and INRIA
Sophia-Antipolis in France, as well as the Southampton University in the United
Kingdom. After finishing his master thesis in 2006, supervised by Prof. Dr. John Shawe-Taylor, he started as a research assistant at the
Computer Vision Laboratory of ETH Zurich headed by Prof.
Dr. Luc Van Gool. Dr. Lehmann won the "Best Impact Paper Award" at
the British Machine Vision Conference in 2011 for his work on efficient branch&rank object detection.
Keywords: object detection.
Reihe " Selected Readings in Vision and Graphics
" im Hartung-Gorre Verlag
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