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In this paper, an approach is presented to estimate the 3D position and orientation of head from RGB and depth images captured by a commercial sensor Kinect. We use 2D Scale-invariant feature transform (SIFT) features together with 3D histogram of oriented gradients (HOG) features which are extracted in a pair of RGB and depth images captured synchronously, named SIFT-HOG features, to improve the...
This paper introduces an integrated maintenance solution called Integrated Equipment Reliability Programme, which is developed by Asset Management Services of SKF* Reliability Systems. The programme is a proactive maintenance programme - customized for combined cycle power plants. The paper also shows successful cases that SKF uses the programme globally to help clients to increase machine reliability...
In this paper we propose to convert the task of face hallucination into an image decomposition problem, and then use the morphological component analysis (MCA) for hallucinating a single face image, based on a novel three-step framework. Firstly, a low-resolution input image is up-sampled by interpolation. Then, the MCA is employed to decompose the interpolated image into a high-resolution image and...
This paper demonstrates how kernel principal component analysis (KPCA) can be used for face hallucination. Different with other KPCA-based methods, KPCA in this paper handles samples from two subspaces, namely the high- and low-resolution image spaces. As KPCA learns not only linear features but also non-linear features, it is anticipated that more detailed facial features could be synthesized. We...
Pronunciation-translated person names (PPN) bring ambiguities to Chinese word segmentation. In this paper, we regard PPN recognition as a binary classification problem. We propose a hybrid approach that combines conditional random fields (CRF) model and support vector machines (SVM) model for the task of recognizing PPN. The experiments show that the performance of the hybrid model is better than...
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