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GCPR 2015 paper and poster "Superpixel Segmentation: An Evaluation".

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Superpixel Segmentation: An Evaluation

A more comprehensive comparison of superpixel algorithms can now be found at davidstutz.de/projects/superpixel-benchmark.

This repository contains both the paper and the poster corresponding to

[2] D. Stutz.
	Superpixel Segmentation: An Evaluation.
	Pattern Recognition (J. Gall, P. Gehler, B. Leibe (Eds.)), Lecture Notes in Computer Science, vol. 9358, pages 555 - 562, 2015.

Note that the final publication is available at link.springer.com.

Further information at the project web page.

License

Licenses for source code corresponding to:

D. Stutz. Superpixel Segmentation using Depth Information. Bachelor Thesis, RWTH Aachen University, 2014.

D. Stutz. Superpixel Segmentation: An Evaluation. Pattern Recognition (J. Gall, P. Gehler, B. Leibe (Eds.)), Lecture Notes in Computer Science, vol. 9358, pages 555 - 562, 2015.

Note that the source code is based on other projects for which separate licenses apply. See the corresponding subrepositories for details.

Copyright (c) 2014-2018 David Stutz, RWTH Aachen University

Please read carefully the following terms and conditions and any accompanying documentation before you download and/or use this software and associated documentation files (the "Software").

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You understand and agree that the authors are under no obligation to provide either maintenance services, update services, notices of latent defects, or corrections of defects with regard to the Software. The authors nevertheless reserve the right to update, modify, or discontinue the Software at any time.

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. You agree to cite the corresponding papers (see above) in documents and papers that report on research using the Software.