2017 International Conference on Virtual Reality and Visualization (ICVRV)最新文献_第2页

Surface Reconstruction of Blood Vessel from 2D Cross-Sections with Recurrence Images 基于递归图像的二维截面血管表面重建

2017 International Conference on Virtual Reality and Visualization (ICVRV) Pub Date : 2017-10-01 DOI: 10.1109/ICVRV.2017.00106

Yongcheng Wei, Rushi Lan, T. Gu, Huadeng Wang, Xiaonan Luo

引用次数: 1

The Application of Wargaming in the Field of Military Logistics 兵棋推演在军事后勤领域的应用

2017 International Conference on Virtual Reality and Visualization (ICVRV) Pub Date : 2017-10-01 DOI: 10.1109/ICVRV.2017.00071

GU Zhen-jiang, K. Yong, Su Xi-Sheng, He De-fu, Yang Bai-xue, Ding Wei

引用次数: 0

An Infrared Image Band Expansion Method Based on Measured Data 一种基于实测数据的红外图像波段扩展方法

2017 International Conference on Virtual Reality and Visualization (ICVRV) Pub Date : 2017-10-01 DOI: 10.1109/ICVRV.2017.00119

Min Li, Hong Xie

引用次数: 0

The SJTU UHD 360-Degree Immersive Video Sequence Dataset 上海交通大学超高清360度沉浸式视频序列数据集

2017 International Conference on Virtual Reality and Visualization (ICVRV) Pub Date : 2017-10-01 DOI: 10.1109/ICVRV.2017.00095

Xu Liu, Yongcheng Huang, Li Song, Rong Xie, Xiaokang Yang

引用次数: 18

Vegetation Rendering Optimization for Virtual Reality Systems 虚拟现实系统植被渲染优化

2017 International Conference on Virtual Reality and Visualization (ICVRV) Pub Date : 2017-10-01 DOI: 10.1109/ICVRV.2017.00094

Zilong Zhang, Xun Luo, Salazar Vaca María Gabriela, Espinoza Castro Danny Alberto, Yi Chen

引用次数: 1

Low Complexity Hybrid View Synthesis Optimization for 3D-HEVC 3D-HEVC低复杂度混合视图合成优化

2017 International Conference on Virtual Reality and Visualization (ICVRV) Pub Date : 2017-10-01 DOI: 10.1109/ICVRV.2017.00045

Songchao Tan, Siwei Ma, Shiqi Wang, Shanshe Wang, Wen Gao

{"title":"Low Complexity Hybrid View Synthesis Optimization for 3D-HEVC","authors":"Songchao Tan, Siwei Ma, Shiqi Wang, Shanshe Wang, Wen Gao","doi":"10.1109/ICVRV.2017.00045","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00045","url":null,"abstract":"In this paper, we propose a low complexity Hybrid View Synthesis Optimization (HVSO) scheme for 3D extension of high efficiency video coding (3D-HEVC). In particular, based on the analyses regarding the impact of depth map compression on the quality of synthesized view rendering, we locally classify the coding tree units (CTUs) of depth map into two categories, including synthesized view distortion change (SVDC) based and view synthesis distortion estimation (VSDE) based CTUs. This allows us to dynamically distinguish the rate-distortion optimization process of these CTUs and obtain the synthesized view distortion of the VSDE based ones in a high efficiency way. More specifically, a new interpolation-based distortion estimation algorithm dedicated for VSDE based CTUs is proposed such that the actual view rendering process can be successfully avoided. In this manner, a good trade-off between the rate-distortion performance and computational complexity in depth map compression is achieved. Experimental results show that with our proposed HVSO method, 75% of the computational complexity on average can be saved for the view synthesis optimization process with only 1.6% BD-rate loss compared with the state-of-the-art scheme in the 3D-HEVC platform.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"105 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":"131377350","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: 0

A Chinese Sign Language Recognition System Using Leap Motion 基于跳跃运动的汉语手语识别系统

2017 International Conference on Virtual Reality and Visualization (ICVRV) Pub Date : 2017-10-01 DOI: 10.1109/ICVRV.2017.00044

Yao-feng Xue, Shang Gao, Huali Sun, Wei Qin

引用次数: 7

Real-Time Object Detection for 360-Degree Panoramic Image Using CNN 基于CNN的360度全景图像实时目标检测

2017 International Conference on Virtual Reality and Visualization (ICVRV) Pub Date : 2017-10-01 DOI: 10.1109/ICVRV.2017.00013

Yiming Zhang, Xiangyun Xiao, Xubo Yang

{"title":"Real-Time Object Detection for 360-Degree Panoramic Image Using CNN","authors":"Yiming Zhang, Xiangyun Xiao, Xubo Yang","doi":"10.1109/ICVRV.2017.00013","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00013","url":null,"abstract":"The object detection for 360-degree panoramic images is widely applied in many areas such as automatic driving, navigation of drones and driving assistance. Most of state-of-the-art approaches for detecting objects in ordinary images cannot work well on the object detection for 360-degree panoramic images. As a 360-degree panoramic image can be considered as a 2D image which is the result of a 360-degree panoramic sphere being expanded along the longitude line, objects in it will be twisted or divided apart and the detection will be more difficult. In this paper, we present a real-time object detection system for 360-degree panoramic images using convolutional neural network (CNN). We adopt a CNN-based detection framework for object detection with a post-processing stage to fine-tune the result. Additionally, we propose a novel method to reuse those exisiting datasets of ordinary images, e.g., the ImageNet and PASCAL VOC, in the object detection for 360-degree panoramic images. We will demonstrate with several examples that our method yields higher accuracy and recall rate than traditional methods in object detection for 360-degree panoramic images.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"27 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":"131962141","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: 6

An Improved Illumination Invariant SURF Image Feature Descriptor 一种改进的光照不变SURF图像特征描述符

2017 International Conference on Virtual Reality and Visualization (ICVRV) Pub Date : 2017-10-01 DOI: 10.1109/ICVRV.2017.00090

Z. Geng, Y. Qiao

引用次数: 3

Plants Modeling Based on Limited Points 基于有限点的植物建模

2017 International Conference on Virtual Reality and Visualization (ICVRV) Pub Date : 2017-10-01 DOI: 10.1109/ICVRV.2017.00032

Lanling Zeng, Lingling Zhang, Yang Yang, Baoan Yang, Yongzhao Zhan

引用次数: 0