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Statistical Methods of Model Fitting and Segmentation in Computer Vision

Statistical Methods of Model Fitting and Segmentation in Computer Vision
计算机视觉中模型拟合和分割的统计方法
批准号:
DP0878801
负责人:
Prof David Suter
金额:
$29.48万
依托单位:
依托单位国家:
澳大利亚
项目类别:
Discovery Projects
财政年份:
2008
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2008-08-07 至 2011-12-31

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中文摘要
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英文摘要
Electronic sensors such as cameras and lasers can provide a rich source of information about the position, shape, and motion of objects around us. However, to extract this information in a reliable, automatic, and accurate way requires a sophisticated statistical theory of the process. Example applications include: video surveillance (better automatic detection of moving people and vehicles and of characterising what those people and vehicles are doing), industrial prototyping and inspection (measuring the size and shape of objects), urban planning (laser scanning streetscapes to create computer models of cities), entertainment industry (movie special effects and games), etc.
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Tensor and Hypergraph Methods in Fitting Visual Data
  • 批准号:
    DP200103448
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $26.69万
  • 财政年份:
    2020
  • 负责人:
    Prof David Suter
  • 依托单位:
Improved image analysis: maximised statistical use of geometry/shape constraints
  • 批准号:
    DP130102524
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $23.45万
  • 财政年份:
    2013
  • 负责人:
    Prof David Suter
  • 依托单位:
Computer vision from a multi-structural analysis framework
  • 批准号:
    DP110103637
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $21.11万
  • 财政年份:
    2011
  • 负责人:
    Prof David Suter
  • 依托单位:
Visual Tracking: Geometric Fitting and Filtering
  • 批准号:
    DP0452416
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $14.0万
  • 财政年份:
    2004
  • 负责人:
    Prof David Suter
  • 依托单位:
国内基金
海外基金
Computational Methods for Analyzing Toponome Data