Pub Date : 2017-10-01DOI: 10.1109/ICVRV.2017.00036
Z. Min, Dai Ning, Meng Ling-Yin, Yu Xiao-Ling, Zhang Yi-hua, Liu Bing-Yao, Zhang Sen-lin
Restoring facial special morphology and normal functions for large bone defects is an extremely challenging issue in reconstructive surgery. The 3D modeling technology of craniofacial implants based on mechanical topology optimization method was proposed to solve this problem. According to the range of the defective region and the key structure of anatomy in the 3D craniofacial skeleton, the parametric optimization modeling was firstly carried out. Then, by analyzing actual load bearing which is mainly from masticatory stresses, the load and boundary conditions were applied to the object to optimize. And for the optimized results, the finite element analysis software Abaqus6.14 was used for mechanical analysis. In this paper, In this paper, compared with the traditional modeling approach, the implants designed by topology optimization modeling method of two typical types of patients with the craniofacial defects proved not only had advantages of good mechanical performance, but also achieved the lightweight structure of 23% of volume decrease, which provided a new idea for the development of craniofacial surgery.
{"title":"Research on 3D Modeling Technology of Craniofacial Implants Based on Topology Optimization Method","authors":"Z. Min, Dai Ning, Meng Ling-Yin, Yu Xiao-Ling, Zhang Yi-hua, Liu Bing-Yao, Zhang Sen-lin","doi":"10.1109/ICVRV.2017.00036","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00036","url":null,"abstract":"Restoring facial special morphology and normal functions for large bone defects is an extremely challenging issue in reconstructive surgery. The 3D modeling technology of craniofacial implants based on mechanical topology optimization method was proposed to solve this problem. According to the range of the defective region and the key structure of anatomy in the 3D craniofacial skeleton, the parametric optimization modeling was firstly carried out. Then, by analyzing actual load bearing which is mainly from masticatory stresses, the load and boundary conditions were applied to the object to optimize. And for the optimized results, the finite element analysis software Abaqus6.14 was used for mechanical analysis. In this paper, In this paper, compared with the traditional modeling approach, the implants designed by topology optimization modeling method of two typical types of patients with the craniofacial defects proved not only had advantages of good mechanical performance, but also achieved the lightweight structure of 23% of volume decrease, which provided a new idea for the development of craniofacial surgery.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"46 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":"126346068","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.2017.00021
Yinghui Wang, Jing Tang, Yanni Zhao, W. Hao, X. Ning, Ke Lv
The reservation of shape features is the key problem of filling hole. In this paper, we present a hole filling method based on feature lines, including the hole boundary lines, ridge lines and valley lines. First, the feature lines are extracted and used to generate a series of curves. Then the control points sequence is obtained by fitting these curves. Finally, the NURBS surface is fitted by control points sequence to fill the hole. The obtained results show that our method can preserve the initial shape characteristics of hole.
{"title":"Point Cloud Hole Filling Based on Feature Lines Extraction","authors":"Yinghui Wang, Jing Tang, Yanni Zhao, W. Hao, X. Ning, Ke Lv","doi":"10.1109/ICVRV.2017.00021","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00021","url":null,"abstract":"The reservation of shape features is the key problem of filling hole. In this paper, we present a hole filling method based on feature lines, including the hole boundary lines, ridge lines and valley lines. First, the feature lines are extracted and used to generate a series of curves. Then the control points sequence is obtained by fitting these curves. Finally, the NURBS surface is fitted by control points sequence to fill the hole. The obtained results show that our method can preserve the initial shape characteristics of hole.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"41 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":"127838185","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.2017.00078
Zou Changjun, Yin Yong
The paper involves an improved vector field clustering algorithm, which has achieved good performance when incorporated into the analysis of vector field. Additionally, a weighted K-means algorithm is presented, which is more appropriate for the analysis of scalar field clustering. The improved algorithm has better clustering results on the scalar field, which are more consistent with the physical laws by comparison. Ultimately, the algorithm is put in use for the CFD calculation. The number of iterations is decreased and the convergence speed is accelerated after the clustering algorithm is adopted for better initial condition.
{"title":"Research on Efficiency Improvement of CFD Computation Based on Cluster Analysis","authors":"Zou Changjun, Yin Yong","doi":"10.1109/ICVRV.2017.00078","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00078","url":null,"abstract":"The paper involves an improved vector field clustering algorithm, which has achieved good performance when incorporated into the analysis of vector field. Additionally, a weighted K-means algorithm is presented, which is more appropriate for the analysis of scalar field clustering. The improved algorithm has better clustering results on the scalar field, which are more consistent with the physical laws by comparison. Ultimately, the algorithm is put in use for the CFD calculation. The number of iterations is decreased and the convergence speed is accelerated after the clustering algorithm is adopted for better initial condition.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"41 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":"122442814","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.2017.00100
P. Hang, K. Yong, Su Xisheng, Shao Jiangang, Ding Wei
Wargaming and Virtual reality (VR) technology is becoming more and more mature and play an increasingly important role in the military field. In this paper, after the applying prospects of the combination of VR and wargaming technology were analyzed, the wargaming system model was first constructed based on VR technology, and then the operation process of wargaming system based on VR technology was elaborated.
{"title":"The Construction of Wargaming System Based on VR Technology","authors":"P. Hang, K. Yong, Su Xisheng, Shao Jiangang, Ding Wei","doi":"10.1109/ICVRV.2017.00100","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00100","url":null,"abstract":"Wargaming and Virtual reality (VR) technology is becoming more and more mature and play an increasingly important role in the military field. In this paper, after the applying prospects of the combination of VR and wargaming technology were analyzed, the wargaming system model was first constructed based on VR technology, and then the operation process of wargaming system based on VR technology was elaborated.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"19 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":"115259556","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.2017.00055
Lianjun Liao, Le Su, Shi-hong Xia
In this paper, we present a practicable method to estimate individual 3D human model in a low cost multi-view realtime 3D human motion capture system. The key idea is: using human geometric model database and human motion database to establish geometric priors and pose prior model; when given the geometric prior, pose prior and a standard template geometry model, the individual human body model and its embedded skeleton can be estimated from the 3D point cloud captured from multiple depth cameras. Because of the introduction of the global prior model of body pose and shapes into a unified nonlinear optimization problem, the accuracy of geometric model estimation is significantly improved. The experiments on the synthesized data set with noise or without noise and the real data set captured from multiple depth cameras show that estimation result of our method is more reasonable and accurate than the classical method, and our method is better noise-immunity. The proposed new individual 3D geometric model estimation method is suitable for online realtime human motion tracking system.
{"title":"Individual 3D Model Estimation for Realtime Human Motion Capture","authors":"Lianjun Liao, Le Su, Shi-hong Xia","doi":"10.1109/ICVRV.2017.00055","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00055","url":null,"abstract":"In this paper, we present a practicable method to estimate individual 3D human model in a low cost multi-view realtime 3D human motion capture system. The key idea is: using human geometric model database and human motion database to establish geometric priors and pose prior model; when given the geometric prior, pose prior and a standard template geometry model, the individual human body model and its embedded skeleton can be estimated from the 3D point cloud captured from multiple depth cameras. Because of the introduction of the global prior model of body pose and shapes into a unified nonlinear optimization problem, the accuracy of geometric model estimation is significantly improved. The experiments on the synthesized data set with noise or without noise and the real data set captured from multiple depth cameras show that estimation result of our method is more reasonable and accurate than the classical method, and our method is better noise-immunity. The proposed new individual 3D geometric model estimation method is suitable for online realtime human motion tracking system.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"335 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":"115397831","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.2017.00084
Chunhua Zhu, Yue Chen
In view of the problems that classical elliptic weight model in radio tomographic imaging leads to excessive pixels and noise interference, the role of elliptic weight model in image reconstruction is studied in this paper;an elliptic model with adaptive weight is proposed;simulation results show that the proposed algorithm can reduce pseudo position in reconstructed images and improve target positioning accuracy.
{"title":"Adaptive Elliptic Weights Model in Radio Tomographic Imaging","authors":"Chunhua Zhu, Yue Chen","doi":"10.1109/icvrv.2017.00084","DOIUrl":"https://doi.org/10.1109/icvrv.2017.00084","url":null,"abstract":"In view of the problems that classical elliptic weight model in radio tomographic imaging leads to excessive pixels and noise interference, the role of elliptic weight model in image reconstruction is studied in this paper;an elliptic model with adaptive weight is proposed;simulation results show that the proposed algorithm can reduce pseudo position in reconstructed images and improve target positioning accuracy.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"22 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":"128494642","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.2017.00072
Wenzhuo Zhang, Lin Shu, Xiangmin Xu, D. Liao
The present affective stimulation systems have shortages in terms of inefficient emotion evocation and poor immersion. This paper presents the design, instructions and ratings of a novel Affective Virtual Reality System (AVRS), which includes a large set of emotionally-evocative VR scenes and their affective ratings. It can provide more objective and direct affective stimuli of basic emotions (happiness, sadness, fear, relaxation, disgust, and rage) by shielding the environmental interferences. In this study, affective VR scenes have been designed by using various standard affective picture, video and audio materials as references. To assess the three dimensional emotion indices of valence, arousal and dominance, each scene of the system is rated and standardized by Self-Assessment Mainikin. AVRS is the first released VR version affect stimuli materials, which sets a precedent for future interdisciplinary work bridging the gap between VR and cognitive psychology.
{"title":"Affective Virtual Reality System (AVRS): Design and Ratings of Affective VR Scenes","authors":"Wenzhuo Zhang, Lin Shu, Xiangmin Xu, D. Liao","doi":"10.1109/ICVRV.2017.00072","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00072","url":null,"abstract":"The present affective stimulation systems have shortages in terms of inefficient emotion evocation and poor immersion. This paper presents the design, instructions and ratings of a novel Affective Virtual Reality System (AVRS), which includes a large set of emotionally-evocative VR scenes and their affective ratings. It can provide more objective and direct affective stimuli of basic emotions (happiness, sadness, fear, relaxation, disgust, and rage) by shielding the environmental interferences. In this study, affective VR scenes have been designed by using various standard affective picture, video and audio materials as references. To assess the three dimensional emotion indices of valence, arousal and dominance, each scene of the system is rated and standardized by Self-Assessment Mainikin. AVRS is the first released VR version affect stimuli materials, which sets a precedent for future interdisciplinary work bridging the gap between VR and cognitive psychology.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"84 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":"126702714","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.2017.00018
Xiaopei Guo, Zhiquan Feng, Changsheng Ai, Yingjun Li, Jun Wei, Xiaohui Yang, Kaiyun Sun
The correctness and robustness of gesture recognition have a significant effect on subsequent operations. In this paper, an algorithm is proposed to obtain angle change data of finger joints by means of data glove, and then the process of dynamic gesture recognition is carried out by fitting the data to curves and calculating the Hausdorff distance between them. The experimental results show that the recognition rate of the method can reach 98% when the number of gesture categories are ten. The algorithm has low computational complexity and high efficiency, which can guarantee the correctness and robustness of gesture recognition.
{"title":"A Novel Method for Data Glove-Based Dynamic Gesture Recognition","authors":"Xiaopei Guo, Zhiquan Feng, Changsheng Ai, Yingjun Li, Jun Wei, Xiaohui Yang, Kaiyun Sun","doi":"10.1109/ICVRV.2017.00018","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00018","url":null,"abstract":"The correctness and robustness of gesture recognition have a significant effect on subsequent operations. In this paper, an algorithm is proposed to obtain angle change data of finger joints by means of data glove, and then the process of dynamic gesture recognition is carried out by fitting the data to curves and calculating the Hausdorff distance between them. The experimental results show that the recognition rate of the method can reach 98% when the number of gesture categories are ten. The algorithm has low computational complexity and high efficiency, which can guarantee the correctness and robustness of gesture recognition.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"26 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":"121616796","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}
Heart atlas reconstruction plays an important role in the personalized disease diagnosis, modeling and simulation. In this paper, we proposed a flexible framework of heart atlas reconstruction, which consists of vectorization of labeled heart dataset and mesh reconstruction based on contour lines. The proposed framework is the combination of some traditional methods, the contribution of this paper is that performance is good through combining the various methods. We evaluated the proposed method on the visible human cardiac datasets. The experiment results manifest that the reconstructed atlas is high-efficiency and accurate.
{"title":"A Novel Reconstruction Method of 3D Heart Geometry Atlas Based on Visible Human","authors":"Gongning Luo, Kuanquan Wang, Pengbo Bo, Yong Xia, Henggui Zhang","doi":"10.1109/ICVRV.2017.00035","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00035","url":null,"abstract":"Heart atlas reconstruction plays an important role in the personalized disease diagnosis, modeling and simulation. In this paper, we proposed a flexible framework of heart atlas reconstruction, which consists of vectorization of labeled heart dataset and mesh reconstruction based on contour lines. The proposed framework is the combination of some traditional methods, the contribution of this paper is that performance is good through combining the various methods. We evaluated the proposed method on the visible human cardiac datasets. The experiment results manifest that the reconstructed atlas is high-efficiency and accurate.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"3 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":"114223993","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.2017.00111
Sheeraz Arif, Wang Wangjing
In this paper, we present a simple method to integrate the discriminative information of video for the action recognition tasks. We introduce the concept of motion map to represent the prefix of video sequences by optimizing the recognition accuracy of original video. 3-dimensional convolution (3Dconv) based model is used to generate the new motion map by integrating current motion map and future video frame. This model is capable of increasing the length of training video in iterative manner and allow us to generate the final motion map. Experimental evaluation results on widely used datasets i.e HMDB51 and UCF101 have revealed effectiveness and flexibility of proposed method over other baseline schemes.
{"title":"3-Dimensional Convolution Based Iterative Model for Efficient Motion Map Generation for Representing Video Discriminative Information","authors":"Sheeraz Arif, Wang Wangjing","doi":"10.1109/ICVRV.2017.00111","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00111","url":null,"abstract":"In this paper, we present a simple method to integrate the discriminative information of video for the action recognition tasks. We introduce the concept of motion map to represent the prefix of video sequences by optimizing the recognition accuracy of original video. 3-dimensional convolution (3Dconv) based model is used to generate the new motion map by integrating current motion map and future video frame. This model is capable of increasing the length of training video in iterative manner and allow us to generate the final motion map. Experimental evaluation results on widely used datasets i.e HMDB51 and UCF101 have revealed effectiveness and flexibility of proposed method over other baseline schemes.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"7 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":"116833003","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：