Abstract
A trend in the computer vision community is observed towards the simultaneous exploitation of color images and depth maps. In this context we propose a novel approach for bi-layer segmentation, whose main contribution is given by the integration of a color classifier based on color sampling, within a depth-based segmentation framework. We have run tests on datasets available online and the outcoming results pointed out the effectiveness of this approach and its suitability for integration in automatic segmentation systems.
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Sorgi, L., Schlosser, M. (2013). Integrating Color Sampling into Depth Based Bilayer Segmentation. In: Petrosino, A. (eds) Image Analysis and Processing – ICIAP 2013. ICIAP 2013. Lecture Notes in Computer Science, vol 8156. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41181-6_4
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DOI: https://doi.org/10.1007/978-3-642-41181-6_4
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