Superpixels Generation of RGB-D Images Based on Geodesic Distance

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dc.contributor.authorPan, Xiaoen_US
dc.contributor.authorZhou, Yuanfengen_US
dc.contributor.authorLiu, Shuweien_US
dc.contributor.authorZhang, Caimingen_US
dc.contributor.editorStam, Jos and Mitra, Niloy J. and Xu, Kunen_US
dc.date.accessioned2015-10-07T05:13:13Z
dc.date.available2015-10-07T05:13:13Z
dc.date.issued2015en_US
dc.description.abstractA novel algorithm for generating superpixels of RGB-D images is presented in this paper. A regular triangular mesh is constructed by the depth and a local geometric features sensitive initialization method is proposed for initializing seeds by a density function. Over-segmentation of the vertices on mesh can be generated by minimizing a new energy function defined by weighted geodesic distance which can be used for measuring the similarity of vertices with color information. At last, superpixels are generated by re-mapping the mesh over-segmentation to 2D image. During energy optimizing, we will check the topology correctness of the superpixels and refine the topology of the superpixels. Experiments on a large RGB-D images database show that the superpixels generated by the new method can adhere to the object boundaries well and outperform the state-of-the-art methods.en_US
dc.description.sectionheadersShort Papersen_US
dc.description.seriesinformationPacific Graphics Short Papersen_US
dc.identifier.doi10.2312/pg.20151284en_US
dc.identifier.isbn978-3-905674-96-5en_US
dc.identifier.pages71-76en_US
dc.identifier.urihttps://doi.org/10.2312/pg.20151284en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.3 [Computer Graphics]en_US
dc.subjectPicture/Image Generationen_US
dc.subjectLine and curve generationen_US
dc.titleSuperpixels Generation of RGB-D Images Based on Geodesic Distanceen_US
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