Construction of System of 3-D Modeling and Virtual Image Generation for Mixed Reality
混合现实3D建模与虚拟图像生成系统构建
基本信息
- 批准号:16500108
- 负责人:
- 金额:$ 2.37万
- 依托单位:
- 依托单位国家:日本
- 项目类别:Grant-in-Aid for Scientific Research (C)
- 财政年份:2004
- 资助国家:日本
- 起止时间:2004 至 2006
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This research aims the new possibility for computer vision and mixed reality that includes the following topics. The topics are Neural network implementation of 3-D modeling and virtual image generation, obtaining shape from shading images from Scanning Electron Microscope, Recognition of shape and generation of free view point image from image database, Extracting moving object with robust background subtraction for quick illumination change, and Improvement and efficient approach with particle filter based motion tracking approach under fixed view point. Neural network is used to the extension for color object image, where the color reflectance factor is recovered with shape information, in addition, virtual image with any light source direction and any view point is generated for the mixed reality. Developed NN based approach gives better reality in comparison with previous CG model based approaches. Recovering shape from SEM was developed with Hopfield neural network as the optimization approach. A new approach to generate free viewpoint image from CG database is also proposed using pose recognition with PCA from CG image database. For the purpose of better segmentation and tracking of moving object, robust segmentation of moving object under the quick illumination changes and particle filter based approach with multiple fixed cameras are also proposed and developed. These results could have good possibility for the research topics.
本研究旨在为计算机视觉和混合现实提供新的可能性,其中包括以下主题。本论文的研究内容包括:基于神经网络的三维建模和虚拟图像生成,从扫描电镜的阴影图像中提取形状,从图像数据库中识别形状并生成自由视点图像,利用背景差分法提取运动目标,以及基于粒子滤波的固定视点运动跟踪方法。利用神经网络对彩色物体图像进行扩展,利用形状信息恢复颜色反射系数,生成任意光源方向、任意视点的混合现实虚拟图像。发达的NN为基础的方法相比,以前的CG模型为基础的方法,提供了更好的现实。以Hopfield神经网络为优化方法,对扫描电镜图像进行了形状恢复。提出了一种基于主成分分析的姿态识别方法,从CG数据库中生成自由视点图像。为了更好地分割和跟踪运动目标,本文还提出并发展了快速光照变化下的运动目标鲁棒分割和基于粒子滤波的多摄像机运动目标分割方法。这些结果对本课题的研究具有很好的指导意义。
项目成果
期刊论文数量(117)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
複数のステレオカメラから生成した三次元ボクセル空間における人物頭部位置のリアルタイム推定
实时估计多个立体相机生成的 3D 体素空间中的人体头部位置
- DOI:
- 发表时间:2006
- 期刊:
- 影响因子:0
- 作者:河中治樹;藤吉弘亘;岩堀祐之
- 通讯作者:岩堀祐之
Recognition of Shape and Generation of Free View Point Image fro Image Database
图像数据库中形状识别及自由视点图像生成
- DOI:
- 发表时间:2004
- 期刊:
- 影响因子:0
- 作者:H.Kawanaka;Y.Iwahori;N.Sado et al.
- 通讯作者:N.Sado et al.
Robust Background Subtraction for Quick Illumination Changes
- DOI:10.1007/11949534_126
- 发表时间:2006-12
- 期刊:
- 影响因子:0
- 作者:S. Fukui;Y. Iwahori;H. Itoh;H. Kawanaka;R. Woodham
- 通讯作者:S. Fukui;Y. Iwahori;H. Itoh;H. Kawanaka;R. Woodham
Relative Magnitude of Gaussian Curvature Using Neural Network and Object Rotation of Two Degrees of Freedom
- DOI:
- 发表时间:2007
- 期刊:
- 影响因子:0
- 作者:Yi Ding;Y. Iwahori;Tsuyoshi Nakamura;Lifeng He;R. Woodham;H. Itoh
- 通讯作者:Yi Ding;Y. Iwahori;Tsuyoshi Nakamura;Lifeng He;R. Woodham;H. Itoh
Robust Method for Extracting Moving Object to Intensity Change Using Color Image Sequence(in Japanese)
使用彩色图像序列提取运动物体强度变化的鲁棒方法(日语)
- DOI:
- 发表时间:2005
- 期刊:
- 影响因子:0
- 作者:S.Fukui;Y.Iwahori;H.Itoh
- 通讯作者:H.Itoh
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IWAHORI Yuji其他文献
IWAHORI Yuji的其他文献
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{{ truncateString('IWAHORI Yuji', 18)}}的其他基金
Development of Medical Diagnosis Supporting System for Endoscope Image and Cell Image
内窥镜图像和细胞图像医疗诊断支持系统的开发
- 批准号:
17K00252 - 财政年份:2017
- 资助金额:
$ 2.37万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Automatic Polyp Recognition and Shape and Size Recovery for Medical Endoscopy Diagnosis
用于医学内窥镜诊断的自动息肉识别以及形状和大小恢复
- 批准号:
26330210 - 财政年份:2014
- 资助金额:
$ 2.37万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Shape Recovery and Polyp Recognition from Endoscope Image for Supporting Medical Diagnosis
内窥镜图像的形状恢复和息肉识别以支持医疗诊断
- 批准号:
23500228 - 财政年份:2011
- 资助金额:
$ 2.37万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Development of Shape Recovery Method for Endoscope Image Using Point Light Source Illumination
利用点光源照明的内窥镜图像形状恢复方法的开发
- 批准号:
20500168 - 财政年份:2008
- 资助金额:
$ 2.37万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
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