CORI: A Configurable Object Recognition Infrastructure

R. Sorschag:
"CORI: A Configurable Object Recognition Infrastructure";
in:"Proceedings of the IEEE International Conference on Signal and Image Processing Applications", IEEE, 2011, ISBN: 978-1-4577-0241-9, S. 136 - 143.

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In this work, we present an object recognition
infrastructure that can be adapted to the needs of a broad
spectrum of tasks without writing a single line of code. Instead, it
can be configured to generate various visual features and to
perform training and recognition. The configuration format is
quite simple and tools to generate these configurations make it
easy to use even for developers with little computer vision
experience. New algorithms and approaches can be added in a
reusable way and further tools are provided to cover all parts of
object recognition applications from data acquisition over
execution and storage to the final result presentation. Moreover,
performance considerations have been taken into account to
enable the reuse of intermediate results and to support multiprocessor
architectures. We demonstrate the use of the proposed
infrastructure in a case study and mention tasks where it has
already been used.