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Chi J.,Shandong University of Finance and Economics | Chi J.,Shandong Provincial Key Laboratory of Digital Media Technology | Zhang C.,Shandong University of Finance and Economics
Computer-Aided Design and Applications | Year: 2011

We present a novel automated method for capturing real-time 3D facial geometry and motion. Our method takes as input real-time face point clouds, and uses a deformable mesh model to fit each point cloud to capture the varying expressions. We propose a new normal-keeping constraint in the metric for fitting the deformable mesh to the point cloud, which not only enforces the consistency of vertex normal and intra-frame vertex motion to achieve automated capture, but also works effectively when the deformable mesh is very different from the point clouds in geometry. We also propose a new angle constraint to avoid generating poor triangles on the deformable mesh. Compared with existing techniques, our method 1) avoids manual selection of feature points, so it achieves automated capture. 2) avoids unstable optical flow estimation in traditional automated techniques, so it has high robustness. 3) always maintains good mesh structure in capture. Experiment results show the efficiency of our method. © 2011 CAD Solutions, LLC. Source


Guo Q.,Shandong University of Finance and Economics | Guo Q.,Shandong Provincial Key Laboratory of Digital Media Technology | Chen Y.,Shandong University of Science and Technology
Research Journal of Applied Sciences, Engineering and Technology | Year: 2013

In this study an image resolution enhancement method is presented that uses the NEDI method to generate an initial image. To increase the detail of this initial image, the given low resolution image is fused with it to achieve a new image. Then the final high resolution image is obtained by using a PCA based filtering to reduce the distortion of this new image. Experimental results on test images demonstrate that the proposed method provides competitive performance. © Maxwell Scientific Organization, 2013. Source


Guo Q.,Shandong University of Finance and Economics | Guo Q.,Shandong Provincial Key Laboratory of Digital Media Technology | Wei Z.,Shandong University of Science and Technology
Research Journal of Applied Sciences, Engineering and Technology | Year: 2012

This study presents a component decomposition based method for fast tire defect detection, which is motivated by the fact that defective tire images mainly consist of three components: texture, background and defect. Thus the proposed method exploits three steps to separate the defect component from the defective image. At the first step, the local total variation filtering is used to extract the texture. Then the background is estimated by the vertical mean filtering. Finally, the defect is detected by thresholding the residual image. Experimental results show that the proposed method is more accurate in locating the defects. © Maxwell Scientific Organization, 2012. Source


Liu Z.,Shandong University of Finance and Economics | Liu Z.,Shandong Provincial Key Laboratory of Digital Media Technology
Advanced Science Letters | Year: 2012

Due to the rapid increase of digital cameras and mobile phone cameras, personal photo albums have grown explosively in recent years. Effectively and accurately annotating photo albums can benefit digital photo management system. However, manually annotating all photos in an album is labor-intensive and time-consuming. Hence, this paper proposes an efficient approach to annotate photo albums with GPS information instead of annotating isolated photos. In this sense, the proposed approach mainly contains two steps: (1) Local image features and GPS information are used to construct a tripartite spectral graph, and then the photos of an album are clustered through tripartite spectral graph partitioning. (2) For a photo cluster obtained from step 1, all annotations of Corel5k dataset's vocabulary are ranked according to the relevance between each annotation and the given photo cluster, furthermore, the annotations with highest ranking score are reserved as final annotations. To compute the ranking score of a given annotation, we estimate visual similarity between the photo cluster and the images in Corel5k which have been annotated by this annotation. Experiments are conducted on the real photo albums of photo sharing website and experimental results demonstrate the effectiveness of the proposed approach. © 2012 American Scientific Publishers All rights reserved. Source


Liu Z.,Shandong University of Finance and Economics | Liu Z.,Shandong Provincial Key Laboratory of Digital Media Technology
Communications in Computer and Information Science | Year: 2011

With the rapid development of Web2.0 technology, we have witnessed great interest and promise in social image mining as a hot research field. Discovering and summarizing knowledge from these multimedia data enables us to mine useful information from the real world. In this paper, the approaches of three kinds of information mined from social images are reviewed: geographic information, hot events of the society and information about personal photo collections. Several key theoretical and empirical contributions in the current decade related to social image mining are discussed. Based on the analysis of what has been achieved in recent years, we believe that social image mining will be paid more and more attentions in the near future. © Springer-Verlag Berlin Heidelberg 2011. Source

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