Interactive compariosn of superpixel algorithms as presented in the bachelor thesis "Superpixel Segmentation using Depth Information" [1].
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.
See here for license information of nvd3, and here for license information of Twitter Bootstrap.
Copyright (c) 2014 - 2015, David Stutz All rights reserved.
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