2012 International Conference on Virtual Reality and Visualization最新文献

Pose Measurement of a GEO Satellite Based on Natural Features 基于自然特征的GEO卫星位姿测量

2012 International Conference on Virtual Reality and Visualization Pub Date : 2012-09-14 DOI: 10.1109/ICVRV.2012.16

Xiaodong Du, Bin Liang, Wenfu Xu, Xueqian Wang, Jianghua Yu

引用次数: 9

Automatic Image Annotation Based on Sparse Representation and Multiple Label Learning 基于稀疏表示和多标签学习的图像自动标注

2012 International Conference on Virtual Reality and Visualization Pub Date : 2012-09-14 DOI: 10.1109/ICVRV.2012.11

Feng Tian, Sheng Xu-kun, Shang Fu-hua, Zhou Kai

{"title":"Automatic Image Annotation Based on Sparse Representation and Multiple Label Learning","authors":"Feng Tian, Sheng Xu-kun, Shang Fu-hua, Zhou Kai","doi":"10.1109/ICVRV.2012.11","DOIUrl":"https://doi.org/10.1109/ICVRV.2012.11","url":null,"abstract":"Automatic image annotation has emerged as an important research topic due to its potential application on both image understanding and web image search. Due to the inherent ambiguity of image-label mapping, the annotation task has become a challenge to systematically develop robust annotation models with better performance. In this paper, we present an image annotation framework based on Sparse Representation and Multi-Label Learning (SCMLL), which aims at taking full advantage of Image Sparse representation and multi-label learning mechanism to address the annotation problem. We first treat each image as a sparse linear combination of other images, and then consider the component images as the nearest neighbors of the target image based on a sparse representation computed by L-1 minimization. Based on statistical information gained from the label sets of these neighbors, a multiple label learning algorithm based on a posteriori (MAP) principle is presented to determine the tags for the unlabeled image. The experiments over the well known data set demonstrate that the proposed method is beneficial in the image annotation task and outperforms most existing image annotation algorithms.","PeriodicalId":421789,"journal":{"name":"2012 International Conference on Virtual Reality and Visualization","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126309672","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}

引用次数: 2

Assistive Learning for Hearing Impaired College Students using Mixed Reality: A Pilot Study 使用混合现实技术辅助听障大学生学习的初步研究

2012 International Conference on Virtual Reality and Visualization Pub Date : 2012-09-14 DOI: 10.1109/ICVRV.2012.20

Xun Luo, Mei Han, Tao Liu, Weikang Chen, Fan Bai

{"title":"Assistive Learning for Hearing Impaired College Students using Mixed Reality: A Pilot Study","authors":"Xun Luo, Mei Han, Tao Liu, Weikang Chen, Fan Bai","doi":"10.1109/ICVRV.2012.20","DOIUrl":"https://doi.org/10.1109/ICVRV.2012.20","url":null,"abstract":"High quality college education for hearing impaired students is a challenging task. The most common practices nowadays intensively engage specially trained instructors, inclass and after-class tutors, as well as accessible infrastructure such as speech-to-text services. Such approaches require significant manpower investments of educators, staff and volunteers, yet are still highly susceptible to quality control and wide deployment issues. With proven records in education, mixed reality has the potential to serve as a useful assistive learning technology for hearing impaired college students. However, the fundamental technical and theoretical questions for this proposed endeavor remain largely unanswered, which motivated us to conduct this pilot study to explore the feasibilities. We designed and implemented a mixed reality system that simulated in-class assistive learning, and tested it at China's largest hearing impaired higher education institute. 15 hearing impaired college students took part in the experiments and studied a subject that is not part of their regular curriculum. Results showed that the mixed reality techniques were effective for in-class assisting, with moderate side effects. As the first step, this study validated the hypothesis that mixed reality can be used as an assistive learning technology for hearing impaired college students. It also opened the avenue to our planned next phases of mixed reality research for this purpose.","PeriodicalId":421789,"journal":{"name":"2012 International Conference on Virtual Reality and Visualization","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132281522","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}

引用次数: 10

Real-time Continuous Geometric Calibration for Projector-Camera System under Ambient Illumination 环境光照下投影-摄像系统的实时连续几何标定

2012 International Conference on Virtual Reality and Visualization Pub Date : 2012-09-14 DOI: 10.1109/ICVRV.2012.15

Yuqi Li, Niguang Bao, Qingshu Yuan, Dongming Lu

引用次数: 4

GPU Based Compression and Rendering of Massive Aircraft CAD Models 基于GPU的海量飞机CAD模型压缩与渲染

2012 International Conference on Virtual Reality and Visualization Pub Date : 2012-09-14 DOI: 10.1109/ICVRV.2012.8

Tan Dunming, Zhao Gang, Yu Lu

{"title":"GPU Based Compression and Rendering of Massive Aircraft CAD Models","authors":"Tan Dunming, Zhao Gang, Yu Lu","doi":"10.1109/ICVRV.2012.8","DOIUrl":"https://doi.org/10.1109/ICVRV.2012.8","url":null,"abstract":"The total size of massive aircraft CAD models is usually up to several GBs, which exceed not only the storage capacity of memory, but also the rendering ability of graphics card. In this paper, we present compression and rendering methods by exploring the up-to-date GPU techniques. To fit into the memory, vertex data are compressed from float to byte type with bounding box information and then decompressed with GPU. Index data are in short or byte type according to the vertex size, while normal data are deleted and generated by GPU while rendering. To render in real-time, vertex buffer object is exploited instead of traditional display list for efficiency and GPU occlusion query culls occluded parts to lower the rendering load. Furthermore, deliberately designed GPU shaders are applied to optimize the traditional rendering pipeline. The experiment results show by the GPU based methods, the compression rates get up to 5.3, massive CAD models such as the regional jet can be compressed within 178 MB and fit into memory of personal computers, and the rendering frame rates achieve up to 40 with cheap graphics card. It's proved that our method maximizes the GPU capabilities to accelerate the real-time rendering performance of massive aircraft CAD models.","PeriodicalId":421789,"journal":{"name":"2012 International Conference on Virtual Reality and Visualization","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125013425","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}

引用次数: 1

Automatic generation of large scale 3D cloud based on weather forecast data 基于天气预报数据自动生成大尺度三维云

2012 International Conference on Virtual Reality and Visualization Pub Date : 2012-09-14 DOI: 10.1109/ICVRV.2012.19

W. Wenke, Guo Yumeng, Xiong Min, Li Sikun

{"title":"Automatic generation of large scale 3D cloud based on weather forecast data","authors":"W. Wenke, Guo Yumeng, Xiong Min, Li Sikun","doi":"10.1109/ICVRV.2012.19","DOIUrl":"https://doi.org/10.1109/ICVRV.2012.19","url":null,"abstract":"3D cloud scenes generation is widely used in computer graphics and virtual reality. Most of the existing methods for 3D cloud visualization first model the cloud based on the physical mechanism of cloud, and then solve the illumination model of the cloud to generate 3D scenes. However, this kind of methods cannot show the real weather condition. Moreover, the existing cloud visualization methods based on the weather forecast data cannot be applied to the large scale 3D cloud scenes due to the complicated solution of the illumination model. Borrowing the idea of particle system, this paper proposes an algorithm for automatic generation of large scale 3D cloud based on weather forecast data. The algorithm considers each grid point in the data as a particle, whose optical parameters can be determined by the input data. Multiple forward scattering is used to calculate the incident color of each particle, and the first order scattering is utilized to determine the incident color to the observer. Experimental results demonstrate that our algorithm could not only generate realistic 3D cloud scenes from the weather forecast data, but also obtain an interactive frame rates for the data that contains millions of grids.","PeriodicalId":421789,"journal":{"name":"2012 International Conference on Virtual Reality and Visualization","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115254344","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}

引用次数: 7

A Network-Oriented Application of Satellite Remote Sensing Circulation Architecture 面向网络的卫星遥感环流体系结构应用

2012 International Conference on Virtual Reality and Visualization Pub Date : 2012-09-14 DOI: 10.1109/ICVRV.2012.17

Lingda Wu, Rui Cao, Y. Bian, Jie Jiang

引用次数: 0

Interactive Continuous Erasing and Clustering in 3D 三维交互式连续擦除与聚类

2012 International Conference on Virtual Reality and Visualization Pub Date : 2012-09-14 DOI: 10.1109/ICVRV.2012.21

Shen Enya, Wang Wen-ke, Li Si-kun, Cai Xun

引用次数: 0

A Motion Parallax Rendering Approach to Real-time Stereoscopic Visualization for Aircraft Virtual Assembly 飞机虚拟装配实时立体可视化的运动视差绘制方法

2012 International Conference on Virtual Reality and Visualization Pub Date : 2012-09-14 DOI: 10.1109/ICVRV.2012.9

Junjie Xue, Gang Zhao, Dunming Tan

引用次数: 1

Non-uniform Illumination Representation based on HDR Light Probe Sequences 基于HDR光探测序列的非均匀照明表示

2012 International Conference on Virtual Reality and Visualization Pub Date : 2012-09-14 DOI: 10.1109/ICVRV.2012.18

Jian Hu, Tao Yu, L. Wang, Zhong Zhou, Wei Wu

引用次数: 1