A High-Precision and High-Speed Stereo Matching Algorithm Based on Synergetics and its Application to Automatic Production of Rough 3 D City Area Map

基于协同学的高精度高速立体匹配算法及其在城市三维粗图自动制作中的应用

基本信息

  • 批准号:
    16500133
  • 负责人:
  • 金额:
    $ 2.05万
  • 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

项目摘要

This research proposes a new method in order to resolve a stereo matching problem with high-precision and high-speed, and applies to automatic production of rough 3 D city area map. The fruitful results are summarized as follows.1) New stereo matching methodA main issue of stereo matching problem is to obtain correspondence of characteristic points in stereo images including occlusion and reversal position with high-precision and high-speed. We propose a new stereo matching algorithm, which has the performance of high-precision and high-speed, based synergetics, which is a mathematical model for an autonomous complex system.2) Automatic production of rough 3 D city area map employing binocular stereoDigital map has been developed from 2 dimensions to 3 dimensions with requirement for advanced navigation. The main issue of the production of 3-dimensional digital map is to reduce its high production cost. Then, we investigated the automatic production method of rough 3D city area map tha … More t employs binocular stereo images for city area. The method is constructed by the followings: (1)region segmentation of subjects, building, street, sky, road side tree etc., from a pair of stereo images, (2)obtaining 3 dimensional coordinates of each subject by stereo matching, (3)identifying a polygon model for each subject, and (4)pasting texture for each subject. Here, the useful way, which is not complete yet, for steps 1),2), and 3) is proposed.3) Object recognition from binocular stereoThe automatic production of 3 D city area map needs to estimate the shapes of subjects from their 3 dimensional coordinates. This is naturally extended to recognize objects from binocular stereo images. Then we propose a new method, which consists of K-means clustering and fuzzy c-varieties with noise clustering for 3 dimensional coordinates including much noise, to recognize the number of subjects and the shapes of subjects. Here, the proposed method effectively works under the condition that the number of subjects is less than 4 and the subjects do not contact with each other. Less
本研究提出一种新的方法,以解决高精度、高速度的立体匹配问题,并应用于城市区域粗三维地图的自动生成。本文的主要研究成果如下:1)新的立体匹配方法立体匹配问题的一个主要问题是高精度、高速度地获取立体图像中特征点的对应关系,包括遮挡和反转位置。我们提出了一种新的立体匹配算法,该算法具有高精度、高速的性能,基于协同学,协同学是自治复杂系统的数学模型。2)利用双目立体自动生成粗糙的三维城市区域地图数字地图已经从二维发展到三维,满足了高级导航的要求。三维数字地图生产的主要问题是降低其高昂的生产成本。然后,研究了粗三维城市区域地图的自动生成方法, ...更多信息 对于城市区域采用双目立体图像。该方法由以下步骤构成:(1)物体、建筑物、街道、天空、路边树等的区域分割,从一对立体图像,(2)通过立体匹配获得每个对象的三维坐标,(3)识别每个对象的多边形模型,以及(4)粘贴每个对象的纹理。3)双目立体目标识别城市三维地图的自动生成需要从目标的三维坐标中估计出目标的形状。这是自然延伸到识别对象从双目立体图像。在此基础上,提出了一种新的识别物体数目和形状的方法,该方法针对含有大量噪声的三维坐标,采用K-means聚类和带噪声聚类的模糊c-簇来识别物体数目和形状。在这里,所提出的方法有效地工作的条件下,受试者的数量是小于4个和受试者不相互接触。少

项目成果

期刊论文数量(64)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
ファジィクラスタリングによるステレオ画像からの平面抽出と物体認識
使用模糊聚类从立体图像中提取平面和对象识别
3D Rough Reconstruction of Buildings from Streetscape by Synergetic Stereo Matching
通过协同立体匹配从街景中对建筑物进行 3D 粗略重建
カメラ歪みを考慮したステレオ法による街並み画像からの建物の3次元復元
考虑相机畸变,使用立体方法从城市景观图像中进行建筑物的 3D 重建
3D Rough Reconstruction of Buildings from Streetscape by synaergetic Stereo Matching
通过协同立体匹配从街景中对建筑物进行 3D 粗略重建
3D概略地図作製のための市街地画像からの建造物領域の抽出
从城市图像中提取建筑区域以创建 3D 粗略地图
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MAEDA Hiroshi其他文献

MAEDA Hiroshi的其他文献

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{{ truncateString('MAEDA Hiroshi', 18)}}的其他基金

Growth inhibition of selected bacterial species by peptide nucleic acids for control of oral microflora
通过肽核酸抑制选定细菌种类的生长以控制口腔微生物区系
  • 批准号:
    15K11404
  • 财政年份:
    2015
  • 资助金额:
    $ 2.05万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Application of antisense PNA as antibiotics against periodontal pathogens
反义PNA作为牙周病原菌抗生素的应用
  • 批准号:
    24659925
  • 财政年份:
    2012
  • 资助金额:
    $ 2.05万
  • 项目类别:
    Grant-in-Aid for Challenging Exploratory Research
Influence to a wrist joint by the topspin technology in tennis
网球上旋技术对腕关节的影响
  • 批准号:
    23500739
  • 财政年份:
    2011
  • 资助金额:
    $ 2.05万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Cross reactivity of archaeal chaperonin with human CCT involved in the pathogenesis of periodontitis and autoimmune disease
古菌伴侣蛋白与人类 CCT 的交叉反应参与牙周炎和自身免疫性疾病的发病机制
  • 批准号:
    21592624
  • 财政年份:
    2009
  • 资助金额:
    $ 2.05万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
New miceller agent for antioxidation therapy based on XO inhibition using AHPP
基于 AHPP 的 XO 抑制的新型抗氧化治疗胶束剂
  • 批准号:
    20590049
  • 财政年份:
    2008
  • 资助金额:
    $ 2.05万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Macromolecular anticancer agent, PEGylated Zinc protoporphyrin (ZnP) targeting HSP32
靶向HSP32的高分子抗​​癌剂聚乙二醇化锌原卟啉(ZnP)
  • 批准号:
    20015045
  • 财政年份:
    2008
  • 资助金额:
    $ 2.05万
  • 项目类别:
    Grant-in-Aid for Scientific Research on Priority Areas
Molecular cloning and functional analysis of non-coding RNA expressed in periodontal bacteria
牙周细菌表达非编码RNA的分子克隆及功能分析
  • 批准号:
    19592387
  • 财政年份:
    2007
  • 资助金额:
    $ 2.05万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
The effect on human body at the impact of tennis racket and balls from the viewpoints of mechanical characteristics of the grip
从握把力学特性看网球拍与球撞击时对人体的影响
  • 批准号:
    16500415
  • 财政年份:
    2004
  • 资助金额:
    $ 2.05万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Control of Nanoscale Structures of Amphiphilic Self-Assembly by Physical Factors
物理因素对两亲性自组装纳米结构的控制
  • 批准号:
    12440200
  • 财政年份:
    2000
  • 资助金额:
    $ 2.05万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Research on the role of NO in microbial pathogenesis
NO在微生物发病机制中的作用研究
  • 批准号:
    12470065
  • 财政年份:
    2000
  • 资助金额:
    $ 2.05万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)

相似海外基金

Improving the accuracy of stereo matching with temporal data and perceptual cues
利用时间数据和感知线索提高立体匹配的准确性
  • 批准号:
    347062-2008
  • 财政年份:
    2008
  • 资助金额:
    $ 2.05万
  • 项目类别:
    Postgraduate Scholarships - Master's
Improving the accuracy of stereo matching with temporal data and perceptual cues
利用时间数据和感知线索提高立体匹配的准确性
  • 批准号:
    347062-2007
  • 财政年份:
    2007
  • 资助金额:
    $ 2.05万
  • 项目类别:
    Alexander Graham Bell Canada Graduate Scholarships - Master's
Research Initiation: Stereo Matching Using Topographic Structures
研究启动:利用地形结构进行立体匹配
  • 批准号:
    8505662
  • 财政年份:
    1985
  • 资助金额:
    $ 2.05万
  • 项目类别:
    Standard Grant
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