Recognition of shape-changes in 3D-objects by GRBF network

通过 GRBF 网络识别 3D 对象的形状变化

基本信息

  • 批准号:
    10680387
  • 负责人:
  • 金额:
    $ 2.18万
  • 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:
    1998
  • 资助国家:
    日本
  • 起止时间:
    1998 至 1999
  • 项目状态:
    已结题

项目摘要

It is usually a very difficult problem to acquisition of 3D models from images automatically. One way to overcome the need of 3D model is to exploit methods for representing objects by a collection of 2D views (2D projection) rotating 3D object. Poggio et. al. and Maruyama et al. have proposed such a view-based object-recognition method named GRBF (Generalized Radial Basis Function) network which relies on multiple 2D views instead of 3D models. This network resembles to the conventional artificial neural network, however, each unit in a hidden layer is represented by radial basis function such as Gaussian. In this paper, we have applied GRBF network to the recognition of hand shape-changes such as grasp, flap point and open, and have designed the system to capture motions of the hand with the GRBF. We show their performance by computer simulations and by using data glove. Since sequential motion consists of a lot of frames, we can pick up typical several canonical frames of the motion and these frames can be applied to the GRBF network for learning. The trained GRBF network could achieve a recognition over 84%.
从图像中自动获取三维模型是一个非常困难的问题。克服三维模型需要的一种方法是利用2D视图集合(2D投影)旋转3D对象来表示对象。Poggio et al.和Maruyama et al.提出了这样一种基于视图的物体识别方法,称为GRBF (Generalized Radial Basis Function)网络,它依赖于多个2D视图而不是3D模型。该网络类似于传统的人工神经网络,然而,隐藏层中的每个单元由径向基函数(如高斯函数)表示。本文将GRBF网络应用于手部抓握、襟翼点、张开等形状变化的识别,并设计了利用GRBF捕获手部运动的系统。我们通过计算机模拟和数据手套展示了它们的性能。由于序列运动由很多帧组成,我们可以挑选出典型的几个典型的运动帧,这些帧可以应用到GRBF网络中进行学习。训练后的GRBF网络识别率达到84%以上。

项目成果

期刊论文数量(7)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
M.Hirakawa et.al.: "Recognition of the sequential motion of the hand by the GRBF network"Proc. of the 5th Intl. Symp. On Artificial Life and Robotics (AROB 5th '00). 2. 534-538 (2000)
M.Hirakawa 等人:“GRBF 网络对手部连续运动的识别”Proc。
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
  • 通讯作者:
Masahiro Okamoto, Miwako Hirakawa, Noriaki Kinoshita, Takanori Katsuki, Tetsuya Kinoshita, Masami Ishibashi: "Recognition of shapes and shape changes in 3D-objects by GRBF network: A structural learning algorithm to explore small-sized networks"In: Featur
Masahiro Okamoto、Miwako Hirakawa、Noriaki Kinoshita、Takanori Katsuki、Tetsuya Kinoshita、Masami Ishibashi:“通过 GRBF 网络识别 3D 对象的形状和形状变化:探索小型网络的结构学习算法”:特征
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
  • 通讯作者:
M. Okamoto et.al.: "Recognition of shapes and shape changes in 3D-objectives by GRBF network: A structural learning algorithm to explore small-sized networks"Feature analysis, clustering and classification: soft computing approaches (ed. By Nikhil R. Pal,
M. Okamoto 等人:“通过 GRBF 网络识别 3D 目标中的形状和形状变化:一种探索小型网络的结构学习算法”特征分析、聚类和分类:软计算方法(Nikhil R 编辑)
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
  • 通讯作者:
Miwako Hirakawa, Masami Ishibashi, Taeko Murakami, Masahiro Okamoto: "Recognition of the sequential motion of the hand by the GRBF network"Proc. of the 5th Intl. Symp. on Artificial Life and Robotics (AROB 5th '00). 534-538 (2000)
Miwako Hirakawa、Masami Ishibashi、Taeko Murakami、Masahiro Okamoto:“GRBF 网络对手的顺序运动的识别”Proc。
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
  • 通讯作者:
M.Okamoto et.al.: "recognition of shapes and shape changes in 3D-objects by GRBF network:a structural learning algorithm to explore small-sized networds"Feature analysis,clustering and classification:soft computing approaches(ed,by Nikhil R.Pal,World Scie
M.Okamoto 等人:“通过 GRBF 网络识别 3D 对象的形状和形状变化:一种探索小型网络的结构学习算法”特征分析、聚类和分类:软计算方法(编者:Nikhil R)
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
  • 通讯作者:
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

OKAMOTO Masahiro其他文献

OKAMOTO Masahiro的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('OKAMOTO Masahiro', 18)}}的其他基金

The effect of exercise to overcome stress and depression: Elucidation of a hippocampal molecular mechanism using RNA-Seq
运动对克服压力和抑郁的作用:利用 RNA-Seq 阐明海马分子机制
  • 批准号:
    16K16559
  • 财政年份:
    2016
  • 资助金额:
    $ 2.18万
  • 项目类别:
    Grant-in-Aid for Young Scientists (B)
Impacts on political activity of non-profit organizations caused by Public Interest Corporation System Reform and comparative analysis of regulation systems
公益法人体制改革对非营利组织政治活动的影响及规制制度比较分析
  • 批准号:
    26380199
  • 财政年份:
    2014
  • 资助金额:
    $ 2.18万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Application of Bio-inspired Algorithm to Adaptive Routing of Packets and to Traffic Congestion of Roads
仿生算法在数据包自适应路由和道路交通拥堵中的应用
  • 批准号:
    21310109
  • 财政年份:
    2009
  • 资助金额:
    $ 2.18万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Humanity, Nationality and Citizenship : Civil Society, Nationalism, Globalism and New Political Theories
人性、民族性和公民身份:公民社会、民族主义、全球主义和新政治理论
  • 批准号:
    20330029
  • 财政年份:
    2008
  • 资助金额:
    $ 2.18万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Bio-inspired Algorithm of Traffic Engineering: Application to Adaptive Routing of Packets
流量工程仿生算法:在数据包自适应路由中的应用
  • 批准号:
    19300020
  • 财政年份:
    2007
  • 资助金额:
    $ 2.18万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Design of biologically inspired distributed adaptive routing system
仿生分布式自适应路由系统设计
  • 批准号:
    16310117
  • 财政年份:
    2004
  • 资助金额:
    $ 2.18万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Automatic Derivation of Nonlinear State Equations by Using Artificial Intelligence in Inverse Problem of Complex Systems
复杂系统反问题中人工智能自动推导非线性状态方程
  • 批准号:
    13680449
  • 财政年份:
    2001
  • 资助金额:
    $ 2.18万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Inference of Genetic Interactions in Large Scale Genetic Network
大规模遗传网络中遗传相互作用的推断
  • 批准号:
    12208008
  • 财政年份:
    2000
  • 资助金额:
    $ 2.18万
  • 项目类别:
    Grant-in-Aid for Scientific Research on Priority Areas
Investigation of Intelligent Network Topology by Mimicking the Fault-tolerant Network Structure of Metabolic Pathways
通过模仿代谢途径的容错网络结构来研究智能网络拓扑
  • 批准号:
    10555128
  • 财政年份:
    1998
  • 资助金额:
    $ 2.18万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B).

相似海外基金

Research and development of 3D object recognition and dynamic movement trajectory transmission for the visually impaired .
为视障人士研发3D物体识别及动态运动轨迹传输。
  • 批准号:
    22H03992
  • 财政年份:
    2022
  • 资助金额:
    $ 2.18万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
3D object recognition and tracking from live cameras
通过实时摄像机进行 3D 对象识别和跟踪
  • 批准号:
    452950-2013
  • 财政年份:
    2013
  • 资助金额:
    $ 2.18万
  • 项目类别:
    Engage Grants Program
Development of a model-based 3D object recognition method aiming at construction of a system for supporting human activity
开发基于模型的 3D 物体识别方法,旨在构建支持人类活动的系统
  • 批准号:
    24500209
  • 财政年份:
    2012
  • 资助金额:
    $ 2.18万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Dynamic Interaction of Multisensory Information in 3D Object Recognition
3D 物体识别中多感官信息的动态交互
  • 批准号:
    17200019
  • 财政年份:
    2005
  • 资助金额:
    $ 2.18万
  • 项目类别:
    Grant-in-Aid for Scientific Research (A)
Toward True 3D Object Recognition
迈向真正的 3D 物体识别
  • 批准号:
    0308087
  • 财政年份:
    2003
  • 资助金额:
    $ 2.18万
  • 项目类别:
    Continuing Grant
Model-Based Free-Form 3D Object Recognition
基于模型的自由形式 3D 对象识别
  • 批准号:
    9996004
  • 财政年份:
    1998
  • 资助金额:
    $ 2.18万
  • 项目类别:
    Continuing Grant
Model-Based Free-Form 3D Object Recognition
基于模型的自由形式 3D 对象识别
  • 批准号:
    9506414
  • 财政年份:
    1995
  • 资助金额:
    $ 2.18万
  • 项目类别:
    Continuing Grant
RIA: Robust 3D Object Recognition Using Uncertain 2D Image Data
RIA:使用不确定的 2D 图像数据进行稳健的 3D 对象识别
  • 批准号:
    9309100
  • 财政年份:
    1993
  • 资助金额:
    $ 2.18万
  • 项目类别:
    Continuing Grant
Feature Group Utility in Model-Based 3D Object Recognition Systems
基于模型的 3D 对象识别系统中的功能组实用程序
  • 批准号:
    9209212
  • 财政年份:
    1992
  • 资助金额:
    $ 2.18万
  • 项目类别:
    Continuing Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了