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Segmenting hair regions from human images facilitates many tasks like hair synthesis and hair style trends forecast. However, hair segmentation is quite challenging due to hair/background confusion and large hair pattern diversity. To address these problems to some extent, this paper proposes a novel coarse-to-fine hair segmentation method. In our approach, firstly, the recently proposed “Active Segmentation...
Localization testing ensures that localized software meets the requirements of local language, market and user's habits, it is an important part of international software testing. In, this paper, based on localization testing theory and applications, the concept, content and purpose of localization testing are described first, then three commonly used testing models have been compared, moreover, the...
In this paper, a novel two-tier Bayesian based method is proposed for hair segmentation. In the first tier, we construct a Bayesian model by integrating hair occurrence prior probabilities (HOPP) with a generic hair color model (GHCM) to obtain some reliable hair seed pixels. These initial seeds are further propagated to their neighborhood pixels by utilizing segmentation results of mean shift, to...
Along with the development of mobile communication systems, it is important to integrate massive heterogeneous data and provide flexible and seamless services. Based on related work, we proposed a novel mobile data management architecture model combined with ontology, service and agent. We discussed the architecture of this model, analyzed the key technologies, and pointed out the existent issues...
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