Pub Date : 2017-10-01DOI: 10.1109/ICVRV.2017.00038
Zhike Yi, A. Hao, Wenfeng Song, Hongyi Li, Bowen Li
At present, thyroid cancer has become a serious global public health problem, and ultrasound is the most important imaging method to assess thyroid nodules. But ultrasound diagnostic results of thyroid disease are susceptible to doctors' experiences, levels, status and other factors. So it needs intelligent diagnostic system to assist the doctors to make more objective qualitative and quantitative analyses, to reduce the impact of subjective experience on the diagnostic results. In this paper, a deep learning algorithm for thyroid nodule risk assessment based on ultrasound images is proposed, and an intelligent diagnostic system of thyroid ultrasound image based on this algorithm is constructed. As an aided diagnostic tool, the system is easy to use and can significantly improve the accuracy for determination of thyroid cancer. To verify the effectiveness of the system, we collaborate with the Peking Union Medical College Hospital to test this system.
{"title":"A Novel Intelligent Thyroid Nodule Diagnosis System over Ultrasound Images Based on Deep Learning","authors":"Zhike Yi, A. Hao, Wenfeng Song, Hongyi Li, Bowen Li","doi":"10.1109/ICVRV.2017.00038","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00038","url":null,"abstract":"At present, thyroid cancer has become a serious global public health problem, and ultrasound is the most important imaging method to assess thyroid nodules. But ultrasound diagnostic results of thyroid disease are susceptible to doctors' experiences, levels, status and other factors. So it needs intelligent diagnostic system to assist the doctors to make more objective qualitative and quantitative analyses, to reduce the impact of subjective experience on the diagnostic results. In this paper, a deep learning algorithm for thyroid nodule risk assessment based on ultrasound images is proposed, and an intelligent diagnostic system of thyroid ultrasound image based on this algorithm is constructed. As an aided diagnostic tool, the system is easy to use and can significantly improve the accuracy for determination of thyroid cancer. To verify the effectiveness of the system, we collaborate with the Peking Union Medical College Hospital to test this system.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114069595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICVRV.2017.00046
Chengfang Song, Chunxia Xiao
Extracting meaningful structures from images with complicated texture patterns is challenging since it is hard to separate structure from texture of similar scale or intensity contrast. In this paper, we propose a structure-preserving bilateral texture filtering algorithm to flatten texture while preserving dominant structures. We design a new scheme, dual-scale patch toggle. That is, patches of two scales are used to represent pixels, the smaller for pixels located at structure edges and the bigger for pixels in texture regions, and then DASM (Directional Anisotropic Structure Measurement) on each pixel is estimated to determine which type of patch to represent it. The algorithm is based on the joint bilateral filtering framework, so it is fast, easy to implement, yet effective for adaptive image smoothing. In particular, our approach outperforms previous methods in terms of preserving small structures. The proposed method achieves excellent results that illustrate its effectiveness and efficiency.
{"title":"Structure-Preserving Bilateral Texture Filtering","authors":"Chengfang Song, Chunxia Xiao","doi":"10.1109/ICVRV.2017.00046","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00046","url":null,"abstract":"Extracting meaningful structures from images with complicated texture patterns is challenging since it is hard to separate structure from texture of similar scale or intensity contrast. In this paper, we propose a structure-preserving bilateral texture filtering algorithm to flatten texture while preserving dominant structures. We design a new scheme, dual-scale patch toggle. That is, patches of two scales are used to represent pixels, the smaller for pixels located at structure edges and the bigger for pixels in texture regions, and then DASM (Directional Anisotropic Structure Measurement) on each pixel is estimated to determine which type of patch to represent it. The algorithm is based on the joint bilateral filtering framework, so it is fast, easy to implement, yet effective for adaptive image smoothing. In particular, our approach outperforms previous methods in terms of preserving small structures. The proposed method achieves excellent results that illustrate its effectiveness and efficiency.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124866225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICVRV.2017.00114
Zhiying Song, Huiyan Jiang, Siqi Li
We present a novel fusion method based on improved pulse-coupled neural networks (PCNN) model in non-subsampled shearlet transform (NSST) domain for wholebody PET/CT images. Firstly, source images are decomposed using NSST into one low-pass sub-band and several highpass sub-bands. Then, an improved PCNN is used in highpass sub-bands where energy of edge and average gradient are as external input and linking strength respectively. Maximum region energy (MRE) and maximum selection (MS) rules are as fusion rules for high-and low-pass sub-bands respectively. Finally, inverse NSST is adopted to produce fused result. Experiments show the superiority of our method.
{"title":"An Improved Medical Image Fusion Method Based on PCNN in NSST Domain","authors":"Zhiying Song, Huiyan Jiang, Siqi Li","doi":"10.1109/ICVRV.2017.00114","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00114","url":null,"abstract":"We present a novel fusion method based on improved pulse-coupled neural networks (PCNN) model in non-subsampled shearlet transform (NSST) domain for wholebody PET/CT images. Firstly, source images are decomposed using NSST into one low-pass sub-band and several highpass sub-bands. Then, an improved PCNN is used in highpass sub-bands where energy of edge and average gradient are as external input and linking strength respectively. Maximum region energy (MRE) and maximum selection (MS) rules are as fusion rules for high-and low-pass sub-bands respectively. Finally, inverse NSST is adopted to produce fused result. Experiments show the superiority of our method.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134395523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/icvrv.2017.00089
Liu Qingchen, Lu Hai-ming
The light field display technology can overcome the dizziness caused by accommodation-convergence conflict in traditional display and has more comfortable, natural visual experiences. This paper focuses on the multi-layer spatial light modulation method of the light field display (cascaded display). However, light field display is faced with a series of problems such as large consumption of computing resources, and poor display quality. To overcome the defects, we optimize the existing nonnegative matrix factorization algorithms in the light field display according to the characteristics of the human eyes. By adding the dynamic weighting factors in the procedure of optimization, we achieve a rank-1 dynamic light field display factorization result in just a few iterations under the framework of cascaded display, which is faster and require less computing resources. We build a prototype of the light field display and we believe it a better performance of the dynamic light field if combined with the real-time eye-tracking techniques.
{"title":"Light Field Display: An Adaptive Weighted Dual-Layer LCD Display for Multiple Views","authors":"Liu Qingchen, Lu Hai-ming","doi":"10.1109/icvrv.2017.00089","DOIUrl":"https://doi.org/10.1109/icvrv.2017.00089","url":null,"abstract":"The light field display technology can overcome the dizziness caused by accommodation-convergence conflict in traditional display and has more comfortable, natural visual experiences. This paper focuses on the multi-layer spatial light modulation method of the light field display (cascaded display). However, light field display is faced with a series of problems such as large consumption of computing resources, and poor display quality. To overcome the defects, we optimize the existing nonnegative matrix factorization algorithms in the light field display according to the characteristics of the human eyes. By adding the dynamic weighting factors in the procedure of optimization, we achieve a rank-1 dynamic light field display factorization result in just a few iterations under the framework of cascaded display, which is faster and require less computing resources. We build a prototype of the light field display and we believe it a better performance of the dynamic light field if combined with the real-time eye-tracking techniques.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129411464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICVRV.2017.00104
Xiangru Chen, Yue Yu, Fengxia Li
Human body motion includes the complex spatiotemporal information and human body motion prediction is useful in the human-computer interaction. An Encoder-Multiple-Recurrent-Decoder (EMRD) model to learn human action from sensor data and predict the later ones is proposed in this paper. The kernel of this method is recurrent neural networks (RNN). The model is used to predict the next several frames of a set of sensor data, which is continuous data but is pre-processed by embedding method proposed in this paper. EMRD extends the previous Encoder-Recurrent-Decoder (ERD) models and Long Short Terms Memory (LSTM) model which are used in the video human body movement prediction.
{"title":"Multiple RNN Method to Prediction Human Action with Sensor Data","authors":"Xiangru Chen, Yue Yu, Fengxia Li","doi":"10.1109/ICVRV.2017.00104","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00104","url":null,"abstract":"Human body motion includes the complex spatiotemporal information and human body motion prediction is useful in the human-computer interaction. An Encoder-Multiple-Recurrent-Decoder (EMRD) model to learn human action from sensor data and predict the later ones is proposed in this paper. The kernel of this method is recurrent neural networks (RNN). The model is used to predict the next several frames of a set of sensor data, which is continuous data but is pre-processed by embedding method proposed in this paper. EMRD extends the previous Encoder-Recurrent-Decoder (ERD) models and Long Short Terms Memory (LSTM) model which are used in the video human body movement prediction.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122362182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICVRV.2017.00023
Yanjun Peng, Yuxiang Zhu, Mingmin Zhang, Yingran Ma, Yuanhong Wang
Applications such as garment industry require a two-dimensional (2D) model to assume a three-dimensional (3D) shape. A new surface flattening method based on energy fabric deformation is proposed in this paper. First, the 3D triangular mesh is flattened to a 2D plane to approximate the original surface through initial flattening. Then, the initial flattening result for further optimization by relaxing strain energy. A simplified energy-based fabric deformation model is proposed as our physical model for determining the optimum 2D pattern. Some key procedures for initial flattening are included such as new standard selection of seed triangle and new constrained triangle flattening method. An innovation unify axes system process is presented to get deformation energy. Energy relaxation is also presented can be used as local correction. Compared with other energy-based method, experiment results show that proposed method could achieve better flattening results.
{"title":"Surface Flattening Based on Energy Fabric Deformation Model in Garment Design","authors":"Yanjun Peng, Yuxiang Zhu, Mingmin Zhang, Yingran Ma, Yuanhong Wang","doi":"10.1109/ICVRV.2017.00023","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00023","url":null,"abstract":"Applications such as garment industry require a two-dimensional (2D) model to assume a three-dimensional (3D) shape. A new surface flattening method based on energy fabric deformation is proposed in this paper. First, the 3D triangular mesh is flattened to a 2D plane to approximate the original surface through initial flattening. Then, the initial flattening result for further optimization by relaxing strain energy. A simplified energy-based fabric deformation model is proposed as our physical model for determining the optimum 2D pattern. Some key procedures for initial flattening are included such as new standard selection of seed triangle and new constrained triangle flattening method. An innovation unify axes system process is presented to get deformation energy. Energy relaxation is also presented can be used as local correction. Compared with other energy-based method, experiment results show that proposed method could achieve better flattening results.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"68 30","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114005569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICVRV.2017.00077
Yijie Wu, Yongtang Bao, Yue Qi
Hair plays a unique role in depicting a person's character. Currently, most hair simulation techniques require a lot of computation time, or rely on complex capture settings. Editing and reusing of existing hair model data are very important topics in computer graphics. In this paper, we present a spatialtemporal editing technique for dynamic hair data. This method can generate a longer or even infinite length sequence of hair motion according to its motion trend from a short input. Firstly, we build spatial-temporal neighborhood information about input hair data. We then initialize the output according to the input exemplar and output constraints, and optimize the output through iterative search and assignment steps. To make the method be more efficient, we select a sparse part of the hair as the guide hair to simplify the model, and interpolate a full set of hair after the synthesis. Results show that our method can deal with a variety of hairstyles and different way of motions.
{"title":"Spatial-Temporal Editing for Dynamic Hair Data","authors":"Yijie Wu, Yongtang Bao, Yue Qi","doi":"10.1109/ICVRV.2017.00077","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00077","url":null,"abstract":"Hair plays a unique role in depicting a person's character. Currently, most hair simulation techniques require a lot of computation time, or rely on complex capture settings. Editing and reusing of existing hair model data are very important topics in computer graphics. In this paper, we present a spatialtemporal editing technique for dynamic hair data. This method can generate a longer or even infinite length sequence of hair motion according to its motion trend from a short input. Firstly, we build spatial-temporal neighborhood information about input hair data. We then initialize the output according to the input exemplar and output constraints, and optimize the output through iterative search and assignment steps. To make the method be more efficient, we select a sparse part of the hair as the guide hair to simplify the model, and interpolate a full set of hair after the synthesis. Results show that our method can deal with a variety of hairstyles and different way of motions.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123119730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICVRV.2017.00079
Guo Jin-liang, Li Xiao-yan, X. Yuan, Zhang-Hao Yang
In order to improve the versatility of visual simulation and reduce the repeated development, a parametric design approach was proposed based on the development model of Vega Prime. The development framework of visual simulation based on Vega Prime was analyzed, and three key technologies of parametric modeling were studied: 1) simulation architecture design, to provide a unified design structure for parametric modeling; 2) parameter extraction and description, to standardize the design and implementation of parameters; 3) parameter constraint rules calculation, to associate model parameters, avoid the conflict between parameters and simplify parameter instantiation. Finally, an instance system of parametric visual simulation was designed and implemented. In this instance, the parametric modeling process was described, the visual effects were given, and the feasibility and validity of the parametric design approach were verified.
{"title":"Parametric Design of Visual Simulation Based on Vega Prime","authors":"Guo Jin-liang, Li Xiao-yan, X. Yuan, Zhang-Hao Yang","doi":"10.1109/ICVRV.2017.00079","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00079","url":null,"abstract":"In order to improve the versatility of visual simulation and reduce the repeated development, a parametric design approach was proposed based on the development model of Vega Prime. The development framework of visual simulation based on Vega Prime was analyzed, and three key technologies of parametric modeling were studied: 1) simulation architecture design, to provide a unified design structure for parametric modeling; 2) parameter extraction and description, to standardize the design and implementation of parameters; 3) parameter constraint rules calculation, to associate model parameters, avoid the conflict between parameters and simplify parameter instantiation. Finally, an instance system of parametric visual simulation was designed and implemented. In this instance, the parametric modeling process was described, the visual effects were given, and the feasibility and validity of the parametric design approach were verified.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121196782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICVRV.2017.00066
Ling Zhu, Wei Wang, Yu Liu, Shiming Lai, Jing Li
This paper introduces a virtual reality video acquisition method based on mirror pyramids. The system is designed to capture a high-definition stereo video, while the mirror pyramids allow users to shoot objects that are located close to the camera. First, we theoretically study the stereoscopic imaging of the specular reflection device and verify its feasibility. Second, we propose a complete stitching process that includes calibration, mask extraction, and fusion for the special imaging device. The mirror reflection of the 3D imaging method allows users to shoot close objects and achieve an excellent 3D effect.
{"title":"A Virtual Reality Video Stitching System Based on Mirror Pyramids","authors":"Ling Zhu, Wei Wang, Yu Liu, Shiming Lai, Jing Li","doi":"10.1109/ICVRV.2017.00066","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00066","url":null,"abstract":"This paper introduces a virtual reality video acquisition method based on mirror pyramids. The system is designed to capture a high-definition stereo video, while the mirror pyramids allow users to shoot objects that are located close to the camera. First, we theoretically study the stereoscopic imaging of the specular reflection device and verify its feasibility. Second, we propose a complete stitching process that includes calibration, mask extraction, and fusion for the special imaging device. The mirror reflection of the 3D imaging method allows users to shoot close objects and achieve an excellent 3D effect.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121299496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICVRV.2017.00081
Zhijun Xie, Shuai Li, Qing Xia, A. Hao
In this paper, we propose to simulate the dynamic motion of cardiovascular system attached with patient-specific vessel structure for personalized Percutaneous Coronary Intervention (PCI) simulation to train surgeons of skills and to help planning surgery. To obtain patient-specific vessel structure, a coarse segmentation with the centerlines extraction subsequently is applied to the computed tomography (CT) scans and the vessels along the centerlines is modeled using a lofted 2D segmentation method. The vessels are then combined with a template heart model to construct a cardiovascular system. For the cardiac motion, we estimate the ventricles motion from 4D Magnetic Resonance Imaging (MRI) sequences to drive the whole heart motion. And the position-based method coupling with a mass-spring model constructed with elastic spheres is used to simulate the cardiac motion cycle stably in the interactive PCI simulator. With our method, a personalized highly realistic beating motion of a whole heart is able to be created and applied to our patient-specific PCI surgery simulation system.
{"title":"Kinetic Simulation of Cardiac Motion with Patient-Specific Coronary Artery Vessels Attached for PCI Simulator","authors":"Zhijun Xie, Shuai Li, Qing Xia, A. Hao","doi":"10.1109/ICVRV.2017.00081","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00081","url":null,"abstract":"In this paper, we propose to simulate the dynamic motion of cardiovascular system attached with patient-specific vessel structure for personalized Percutaneous Coronary Intervention (PCI) simulation to train surgeons of skills and to help planning surgery. To obtain patient-specific vessel structure, a coarse segmentation with the centerlines extraction subsequently is applied to the computed tomography (CT) scans and the vessels along the centerlines is modeled using a lofted 2D segmentation method. The vessels are then combined with a template heart model to construct a cardiovascular system. For the cardiac motion, we estimate the ventricles motion from 4D Magnetic Resonance Imaging (MRI) sequences to drive the whole heart motion. And the position-based method coupling with a mass-spring model constructed with elastic spheres is used to simulate the cardiac motion cycle stably in the interactive PCI simulator. With our method, a personalized highly realistic beating motion of a whole heart is able to be created and applied to our patient-specific PCI surgery simulation system.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"222 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115013192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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