CAREER: Methods for Nonrigid Motion Analysis

职业:非刚性运动分析方法

基本信息

  • 批准号:
    9984842
  • 负责人:
  • 金额:
    $ 27.34万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2000
  • 资助国家:
    美国
  • 起止时间:
    2000-06-01 至 2005-05-31
  • 项目状态:
    已结题

项目摘要

This is the first year funding of a four year continuing award. This proposal outlines an extended research program to investigate a hierarchy of nonrigid motion classes, along with their identification and analysis. The educational component of this plan involves graduate and undergraduate course development, efforts for a synergy between research and teaching activities and development of active learning strategies in the proposed courses.Invariant measures from differential geometry are mainly used for our purpose of nonrigid motion analysis. We propose algorithms for general nonrigid motion analysis, based on new distance measures using discriminant, unit?normal and Gaussian curvature variations of surfaces. The proposed system consists of a hierarchy of nonrigid motion models arranged in a simple?to?complex fashion. Our emphasis is not only in designing different classes of nonrigid motions and proposing different techniques to extract motion parameters and point correspondences, but also in applying these algorithms to extensive sets of real data involving face and cloud motion, in particular, hurricane motion. We feel that this is a good testbed for designing, testing, validating and evaluating our system, as face and clouds involve a wide variety of nonrigid motions.This proposal seeks to address three major scientific issues: (i) How to efficiently estimate point correspondences and motion parameters during a general nonrigid motion? (ii) What motion parameters are to be used for an accurate model fit of a given unknown nonrigid motion? (iii) How to classify nonrigid motion?The strengths of the proposed research are threefold. First, the use of invariant differential geometric parameters for nonrigid motion analysis allow the ability to be independent of coordinate system and parameterization, especially since our optimization functions are based on before motion frame's principal coordinate system. The second strength of our approach lies in its ability to interrelate the motion parameters of all the nonrigid motion classes in the hierarchy. The third strength is the ability to estimate point correspondences, nonrigid motion parameters and nonrigid motion type through a single optimization procedure.The educational plan involves integration of research activities in teaching and efforts for undergraduate research involvement. Proposed new courses include graduate level courses in computer vision, video computing and seminar course in analysis and visualization of formable bodies.
这是四年持续奖的第一年资助。这项建议概述了一个扩展的研究计划,以调查非刚性运动类别的层次结构,以及它们的识别和分析。该计划的教育部分包括研究生和本科课程的发展,在拟议课程中努力实现研究和教学活动的协同,以及开发积极的学习策略。微分几何的不同措施主要用于我们的非刚性运动分析。我们提出了基于新的距离度量的一般非刚体运动分析算法,该距离度量使用曲面的判别式、单位、法线和高斯曲率变化。所提出的系统由以简单到复杂的方式排列的非刚性运动模型的层次结构组成。我们的重点不仅是设计不同类型的非刚性运动,并提出不同的技术来提取运动参数和点对应关系,而且还将这些算法应用于涉及面和云运动,特别是飓风运动的大量真实数据集。我们认为这是设计、测试、验证和评估我们的系统的一个很好的试验台,因为面和云涉及各种各样的非刚体运动。这项建议试图解决三个主要的科学问题:(I)如何有效地估计一般非刚体运动中的点对应和运动参数?(Ii)对于给定的未知非刚体运动的精确模型拟合应使用哪些运动参数?(3)如何对非刚性运动进行分类?提出的研究有三个方面的优势。首先,对于非刚体运动分析,使用不变的微分几何参数使其能够独立于坐标系和参数化,特别是因为我们的优化函数是基于运动框架的主坐标系。我们方法的第二个优点在于它能够将层次中所有非刚性运动类的运动参数相互关联。第三个优势是通过单一的优化程序估计点对应、非刚性运动参数和非刚性运动类型的能力。教育计划涉及教学中研究活动的整合和本科生参与研究的努力。拟议的新课程包括计算机视觉、视频计算的研究生水平课程,以及可成形物体的分析和可视化研讨会课程。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Chandra Kambhamettu其他文献

V12-07 IMPLEMENTATION OF MULTIPARAMETRIC MAGNETIC RESONANCE IMAGING INTO ROBOTIC – ASSISTED RADICAL PROSTATECTOMY USING VIRTUAL REALITY
  • DOI:
    10.1016/j.juro.2018.02.3015
  • 发表时间:
    2018-04-01
  • 期刊:
  • 影响因子:
  • 作者:
    Sherif Mehralivand;Abhishek Kolagunda;Chandra Kambhamettu;Kai Hammerich;Kaitlan Cobb;Vladimir Valera Romero;Jonathan Bloom;Gustavo Pena Lagrave;Vikram Sabarwal;Samuel Gold;Graham Hale;Kareem Rayn;Stephanie Harmon;Clayton Smith;Marcin Czarniecki;Bradford Wood;Peter Choyke;Baris Turkbey;Peter Pinto
  • 通讯作者:
    Peter Pinto
Single-image optical center estimation from vignetting and tangential gradient symmetry
根据渐晕和切向梯度对称性进行单图像光心估计
PD40-09 A MULTIPARAMETRIC MAGNETIC RESONANCE IMAGING – BASED VIRTUAL REALITY SURGICAL AID FOR ROBOTIC – ASSISTED RADICAL PROSTATECTOMY
  • DOI:
    10.1016/j.juro.2018.02.1934
  • 发表时间:
    2018-04-01
  • 期刊:
  • 影响因子:
  • 作者:
    Sherif Mehralivand;Abhishek Kolagunda;Chandra Kambhamettu;Kai Hammerich;Kaitlan Cobb;Vladimir Valera Romero;Jonathan Bloom;Gustavo Pena Lagrave;Vikram Sabarwal;Samuel Gold;Graham Hale;Kareem Rayn;Marcin Czarniecki;Bradford Wood;Peter Choyke;Baris Turkbey;Peter Pinto
  • 通讯作者:
    Peter Pinto
Discriminant Subspace Analysis for Face Recognition with Small Number of Training Samples
少量训练样本人脸识别的判别子空间分析
  • DOI:
  • 发表时间:
    2005
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Hui Kong;Xuchun Li;Matthew Turk;Chandra Kambhamettu
  • 通讯作者:
    Chandra Kambhamettu
Contour Extraction of Drosophila Embryos
果蝇胚胎的轮廓提取

Chandra Kambhamettu的其他文献

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{{ truncateString('Chandra Kambhamettu', 18)}}的其他基金

CDI-Type I: Collaborative Research: A Computational Thinking Approach to Mapping Critical Marine Mammal Habitat Through Readily-Deployable Video Systems
CDI-I 型:协作研究:通过易于部署的视频系统绘制关键海洋哺乳动物栖息地的计算思维方法
  • 批准号:
    1124664
  • 财政年份:
    2011
  • 资助金额:
    $ 27.34万
  • 项目类别:
    Standard Grant
3D Stereo Imaging of Sea Ice from Ships
船舶海冰 3D 立体成像
  • 批准号:
    0636726
  • 财政年份:
    2007
  • 资助金额:
    $ 27.34万
  • 项目类别:
    Continuing Grant

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