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International Conference on image and Graphics

作者： Hu, Dong Sun, Jianfei Xu, Ping Jiangsu Provincial Key Lab of Image Processing and Image Communications Nanjing University of Post and Telecommunications Nanjing 210003 China

ISBN: (纸本)9780769545417

Virtual view rendering has great importance in 3-D display. In order to get high-quality image of an arbitrary view from 2-D source image, improvement on depth-image based rendering (DIBR) is studied in this paper. By analyzing the process of virtual view rendering of DIBR, an improved method is proposed, which generates new view by modifying parallax of two views and incorporating image inpainting. The parallax is deduced from depth information, and modified afterwards according to parallax gradient, so as to reduce hole regions before generating new view by 3-D image warping. To further remove the remaining holes, image inpainting combining texture and depth information is incorporated. Experimental results show the superiority of the proposed method. © 2011 IEEE.

关键词： image enhancement

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3D face registration based on principal axis analysis and lab.led regions orientation

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Journal of Systems Engineering and Electronics 2009年第6期20卷 1324-1331页

作者： Guo Zhe Zhang Yanning Lin Zenggang Liu Yantong Shaanxi Key Lab. of Speech & Image Information Processing School of Computer Science Chang'an Campus of Northwestern Polytechnical Univ. Xi'an 710129 P. R. China

A novel multi-view 3D face registration method based on principal axis analysis and lab.led regions orientation called local orientation registration is *** pre-registration is achieved by transforming the multi-pose models to the standard frontal model＇s reference frame using the principal axis analysis *** significant feature regions, such as inner and outer canthus, nose tip vertices, are then located by using geometrical distribution *** regions are subsequently employed to compute the conversion parameters using the improved iterative closest point algorithm, and the optimal parameters are applied to complete the final *** results implemented on the proper database demonstrate that the proposed method significantly outperforms others by achieving 1.249 and 1.910 mean root-mean-square measure with slight and large view variation models, respectively.

关键词： local orientation registration principal axis analysis lab.l regions orientation iterative closest point.

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Stereo matching using aggregated likelihood and multi-scale prior

Stereo matching using aggregated likelihood and multi-scale ...

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2012 3rd IEEE/IET International Conference on Audio, Language and image processing, ICALIP 2012

作者： Wang, Liang Liu, Tianliang Zhu, Xiuchang Jiangsu Provincial Key Lab. of Image Processing and Image Communication Nanjing University of Posts and Telecommunications Nanjing 210003 China

ISBN: (纸本)9781467301718

This paper proposes a novel global stereo matching method using aggregated likelihoods and multi-scale priors. The likelihoods of dense stereo correspondences as data term can be robustly expressed by aggregated matching costs based on Weber feature descriptors in an asymmetrical linear filtering model. The multi-scale priors on disparity surface are designed to capture scene smooth term from larger neighborhood besides 4-connected neighborhood. The presented stereo approach being relatively simple does not rely on image segmentation and any scene semantic analysis. Experiments demonstrate that the proposed stereo matching algorithm can produce the dense smooth disparity results comparable to those of excellent stereo matching techniques. © 2012 IEEE.

关键词： image segmentation

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Robust piecewise planar stereo with modified segmentation cues in urban scenes

Robust piecewise planar stereo with modified segmentation cu...

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2nd International Conference on Multimedia Technology, ICMT 2011

作者： Jiao, Zengtao Liu, Tianliang Zhu, Xiuchang Jiangsu Provincial Key Lab. of Image Processing and Image Communication Nanjing University of Posts and Telecommunications Nanjing 210003 China

ISBN: (纸本)9781612847740

This paper proposes a robust piecewise planar multiview stereo (MVS) approach specifically designed for urban scenes. These architectural scenes are problematic for traditional computer vision methods. In our work, we focus on exploiting some useful constraints of artificial structures such as piecewise coplanarity and boundaries of superpixels. Firstly, we reconstruct quasi-dense 3D point clouds of urban scenes using patches-based MVS (PMVS) method. Secondly, a set of 3D candidate planes are generated by the obtained point clouds without any assumption on the normals of planes, unlike famous Manhattan-world assumption. Then, we segment multi-view images with watershed algorithm and modify the contours of superpixels by the classical Douglas-Peucker approximation algorithm to fit the contours to the boundaries of objects in urban scenes as much as possible. Finally, we use the candidate planes as lab.ls and superpixels as nodes to formulate our Markov Random Field (MRF) optimization problem, then a piecewise planar depth map for each view is recovered by solving the optimization problem using graph-cuts. Experiments show that our method outperforms previous approaches in terms of accuracy. © 2011 IEEE.

关键词： Superpixels

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Sleep electroencephalogram analysis based on symbolic transfer entropy

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2013 International Conference on Advances in Materials Science and Manufacturing Technology, AMSMT 2013

作者： Chang, Rui Jun Liu, Yang Chen, Qiu Ping Wang, Jun Image Processing and Image Communications Key Lab College of Geo and Bio Information Nanjing Univ of Posts and Telecomm Nanjing 210003 China

ISBN: (纸本)9783037857984

The quality of sleep has a great relationship with health. The result of sleep stage classification is an important indicator to measure the quality of sleep. It was found that the symbolic transfer entropy about wake and the first stage of non-rapid eye movement sleep reflect on the changes of sleep stage. And it was confirmed by T test and multi-samples experiments. The symbolic transfer entropy can apply into automatic sleep stage classification. By Multi-parameter analysis it could achieve a higher accuracy of sleep stage classification. © (2013) Trans Tech Publications, Switzerland.

关键词： Electroencephalography

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Pathological electrocardiogram analysis based on symbolic relative entropy

Pathological electrocardiogram analysis based on symbolic re...

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2013 International Conference on Bio-Medical Materials and Engineering, ICBME 2013

作者： Qiu, Jia Kai Huang, Xiao Liang Chang, Su Yi Wang, Yun Xia Wang, Jun Image Processing and Image Communications Key Lab College of Geo and Bio Information Nanjing Univ of Posts and Telecomm Nanjing 210003 China

ISBN: (纸本)9783037857557

In this paper, symbolic relative entropy was used to analyze normal electrocardiogram (ECG), the ECG taken from patient with congestive heart failure (CHF) and Atrial fibrillation (AF). Statistical testing showed that the symbolic relative entropy of normal ECG was distinctly higher than that of CHF while the symbolic relative entropy of CHF was distinctly higher than that of AF. It discoved that symbolic relative entropy can be used to analyze the different pathological ECG which could be used to assisted clinical diagnosis. © (2013) Trans Tech Publications, Switzerland.

关键词： Electrocardiograms

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Detrended cross-correlation analysis of epilepsy electroencephalagram singals

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2013 International Conference on Advances in Materials Science and Manufacturing Technology, AMSMT 2013

作者： Zhao, Jun Chang Dou, Wan Hu Ji, Hong Da Wang, Jun Image Processing and Image Communications Key Lab College of Geo and Bio Information Nanjing Univ of Posts and Telecomm Nanjing 210003 China

ISBN: (纸本)9783037857984

The cross-correlation performance between epilepsy electroencephalogram (EEG) signals reflects the status of epilepsy patients which has importance for analyzing long-range correlation of non-stationary signals. For the first time, detrended cross-correlation analysis (DCCA) was applied to analyze different physiological and pathological states of epilepsy EEG signals. It were compared the difference of DCCA values between epilepsy patients' EEG signals and normal subjects' EEG signals. It was found that the DCCA values of epilepsy patients' EEG signals increased compared the normal subjects' EEG signals which can be helpful for medical diagnosis and treatment. © (2013) Trans Tech Publications, Switzerland.

关键词： Electroencephalography

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Study of the electrocardiogram's ST segment based on multiscale entropy

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Nanjing Youdian Daxue Xuebao (Ziran Kexue Ban)/Journal of Nanjing University of Posts and Telecommunications (Natural Science) 2008年第3期28卷 70-72+76页

作者： Wang, Jun Ma, Qian-Li Image Processing and Image Communications Key Lab. Nanjing University of Posts and Telecommunications Nanjing 210003 China

The ST segment of electrocardiogram (ECG) was studied using multiscale entropy (MSE) in the first time, and the MSE results of ST segments were compared with those of ECGs. It was found that the MSE values of electrocardiogram from healthy human and coronary heart disease (CHD) patients are close and both are larger than those from myocardial infarction (MI) patients. For the MSE values of ST segments, the least and the largest is those from the healthy people and from CHD patients respectively, and in the middle is those from MI patients. A reasonable explanation of the results is given. These characteristics of ECG complexity change have important clinical significance for early diagnosis.

关键词： Coronary heart disease Electrocardiogram Multiscale entropy ST segment

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Expression Recognition Based on Attention Mechanism and Length Feature of Facial Landmark 13

Expression Recognition Based on Attention Mechanism and Leng...

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13th International Conference on Wireless communications and Signal processing, WCSP 2021

作者： Yang, Qian Liu, Feng Zhao, Zhenglai Nanjing University of Posts and Telecommunications Nanjing China Nanjing University of Posts and Telecommunications Jiangsu Key Lab of Image Processing Image Communications Nanjing China

ISBN: (纸本)9781665407854

In view of the fact that the proportion of face in the whole image is small and the face posture is skew, which leads to the low accuracy of facial expression recognition, this paper proposes a two-branch neural network based on attention mechanism and length feature of facial landmark. The first branch is based on the modified VGG19 and the integration of the convolutional block attention module (CBAM), which focuses on the extraction of important features of expression. The second branch extracts 68 feature points from the face image, and calculates the Euler distance between these feature points to acquire the length information of 2278 dimensions, and is finally normalized and fed into the full connection layer. The network composed of the first branch and the second branch is trained by joint fine-tuning, where L2 regularization is added to prevent overfitting. The proposed method is tested and verified on Jaffe, CK + and FER +, and the highest accuracy is 93.48%,96.12% and 84.73% respectively. The performance of the proposed method is more advance than many existing algorithms, which shows that the proposed model has good accuracy and robustness. © 2021 IEEE.

关键词： Face recognition

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Estimation of visual ERP signals with nonextensive entropy

Estimation of visual ERP signals with nonextensive entropy

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ICBPE 2006 - 2006 International Conference on Biomedical and Pharmaceutical Engineering

作者： Minfen, Shen Bin, Li Hongrong, Tang Key Lab. of Digital Signal and Image Processing of Guangdong Province Shantou University Shantou China

ISBN: (纸本)8190426249

Nonextensive entropy, the Tsallis-like time-dependent entropy (TDE), is developed to study the event-related potential signals ( ERPs ) in a cue, "E"-orientation discrimination task. The statistical characteristics of the TDE for different signal distributions are studied. Results indicated that with the appearance of P2 and N2, a significant decrease of TDE was correlated with the responses to small size cue which supports the previous theoretic analysis. This method provides a novel quantitative measurement for ERPs actives and may be a useful tool in signals monitoring. © 2006 Research Publishing Services.

关键词： Entropy

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