Superpixels and Polygons Using Simple Non-iterative Clustering
We present an improved version of the Simple Linear Iterative Clustering (SLIC) superpixel segmentation. Unlike SLIC, our algorithm is non-iterative, enforces connectivity from the start, requires lesser memory, and is faster. Relying on the superpixel boundaries obtained using our algorithm, we als...
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| Published in | 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp. 4895 - 4904 |
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| Main Authors | , |
| Format | Conference Proceeding |
| Language | English |
| Published |
IEEE
01.07.2017
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1063-6919 1063-6919 |
| DOI | 10.1109/CVPR.2017.520 |
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| Abstract | We present an improved version of the Simple Linear Iterative Clustering (SLIC) superpixel segmentation. Unlike SLIC, our algorithm is non-iterative, enforces connectivity from the start, requires lesser memory, and is faster. Relying on the superpixel boundaries obtained using our algorithm, we also present a polygonal partitioning algorithm. We demonstrate that our superpixels as well as the polygonal partitioning are superior to the respective state-of-the-art algorithms on quantitative benchmarks. |
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| AbstractList | We present an improved version of the Simple Linear Iterative Clustering (SLIC) superpixel segmentation. Unlike SLIC, our algorithm is non-iterative, enforces connectivity from the start, requires lesser memory, and is faster. Relying on the superpixel boundaries obtained using our algorithm, we also present a polygonal partitioning algorithm. We demonstrate that our superpixels as well as the polygonal partitioning are superior to the respective state-of-the-art algorithms on quantitative benchmarks. |
| Author | Achanta, Radhakrishna Susstrunk, Sabine |
| Author_xml | – sequence: 1 givenname: Radhakrishna surname: Achanta fullname: Achanta, Radhakrishna email: radhakrishna.achanta@epfl.ch organization: Sch. of Comput. & Commun. Sci., Ecole Polytech. Fed. de Lausanne, Lausanne, Switzerland – sequence: 2 givenname: Sabine surname: Susstrunk fullname: Susstrunk, Sabine email: sabine.susstrunk@epfl.ch organization: Sch. of Comput. & Commun. Sci., Ecole Polytech. Fed. de Lausanne, Lausanne, Switzerland |
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| Snippet | We present an improved version of the Simple Linear Iterative Clustering (SLIC) superpixel segmentation. Unlike SLIC, our algorithm is non-iterative, enforces... |
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| StartPage | 4895 |
| SubjectTerms | Clustering algorithms Estimation Image color analysis Image segmentation Iterative algorithms Memory management Partitioning algorithms |
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| Title | Superpixels and Polygons Using Simple Non-iterative Clustering |
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