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Interactive compariosn of superpixel algorithms as presented in the bachelor thesis "Superpixel Segmentation using Depth Information" [1].

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NVD3 Superpixel Algorithm Comparison

An interactive comparison of different superpixel algorithms as presented in [1] and [2] based on nvd3:

[1] D. Stutz, A. Hermans, B. Leibe.
    Superpixel Segmentation using Depth Information.
    Bachelor Thesis, RWTH Aachen University, SEptember 2014.
[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.

The thesis is available at http://davidstutz.de/projects/superpixelsseeds/ as well as on GitHub: davdstutz/bachelor-thesis-superpixels.

This repository contains the corresponding evaluation results in data/ which have been obtained using an extended version of the Berkeley Segmentation Benchmark [3], available on GitHub here.

[3] P. Arbeláez, M. Maire, C. Fowlkes, J. Malik.
    Contour detection and hierarchical image segmentation.
    Transactions on Pattern Analysis and Machine Intelligence, volume 33, number 5, pages 898–916, 2011.

The visualization as contained in this repository can be viewed here. The integration into Wordpress as presented at http://davidstutz.de/projects/superpixelsseeds/ is available at davidstutz/wordpress-iamdavidstutz.

License

See here for license information of nvd3, and here for license information of Twitter Bootstrap.

Copyright (c) 2014 - 2015, David Stutz All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

  • Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
  • Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
  • Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

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