课题基金 / 基金详情

Augmenting 3D Modeling and Animation Techniques Using Large Sensed Data

Augmenting 3D Modeling and Animation Techniques Using Large Sensed Data
使用大量传感数据增强 3D 建模和动画技术
批准号:
261435-2013
负责人:
Mudur, SudhirPandurang
金额:
$1.09万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2015
资助国家:
加拿大
项目状态:
已结题
起止时间:
2015-01-01 至 2016-12-31

项目摘要

项目成果

Mudur, SudhirPandurang的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Three dimensional (3D) computer graphics has been and is my dominant area of research. In spite of many advances, creating complex 3D geometric models and animations continues to be effort intensive and poses many challenges. Today, the wide use of low cost cameras and other sensing devices enable rapid capture of image, video, 3D surface and motion data. Combined with continued growth in multi-core CPUs and many core GPUs, these technologies present tremendous opportunities to transform the way in which we can carry out 3D shape modeling and animation tasks. The specific research focus of this proposal is the investigation of computational methods that efficiently process the large volumes of data captured by such devices and derive suitable characterizing representations. These can then be used to augment techniques for 3D modeling and animation. Through this research I hope to answer some of the following questions: 1) What shape characteristics can be computed from 3D scans for use in shape reconstruction, retrieval, etc.? 2) Identify what are appropriate motion data characteristizations which help create/enhance animations? 3) How can we learn from image/video data to inform 3D shape and animation creation processes? 4) How can we expand 3D interaction with full body movements using sensed data from a Kinect like device? 5) What specific programming models and techniques do we need to parallelize above developed modelling and animation techniques on commodity heterogeneous computing environments? My research methodology is essentially driven by the cycle of research, analysis, new ideas, implement, test and verify. My plan is to build upon on-going research in my 3D Graphics lab which has the necessary infrastructure for graphics data capture. I will continue the existing collaboration with Fine Arts researchers to provide us with real-life usage scenarios in games and entertainment. The principal goal of this research is to make it easier for designers and animators to produce 3D models and animations for novel situations without requiring excessive user input, programming or human effort.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Accurate Reconstruction and Analysis of Access Wells using a Hybrid Depth/Color Device
  • 批准号:
    513862-2017
  • 项目类别:
    Engage Grants Program
  • 资助金额:
    $1.82万
  • 财政年份:
    2017
  • 负责人:
    Mudur, SudhirPandurang
  • 依托单位:
Augmenting 3D Modeling and Animation Techniques Using Large Sensed Data
  • 批准号:
    261435-2013
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.09万
  • 财政年份:
    2017
  • 负责人:
    Mudur, SudhirPandurang
  • 依托单位:
Augmenting 3D Modeling and Animation Techniques Using Large Sensed Data
  • 批准号:
    261435-2013
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.09万
  • 财政年份:
    2016
  • 负责人:
    Mudur, SudhirPandurang
  • 依托单位:
Ice Hockey Shot Motion Extraction from Stereo Videos
  • 批准号:
    501069-2016
  • 项目类别:
    Engage Grants Program
  • 资助金额:
    $1.82万
  • 财政年份:
    2016
  • 负责人:
    Mudur, SudhirPandurang
  • 依托单位:
国内基金
海外基金
船舶海工用粘结剂喷射3D打印金属复合材料成形技术开发
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2026
  • 负责人:
    徐龙
  • 依托单位:
高效换热不锈钢模具3D打印关键技术及装备开发
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2026
  • 负责人:
    刘双宇
  • 依托单位:
生物炭粒子电极协同3D电化学体系活化PS的调控机制及氧化降解CPs的机理
  • 批准号:
    2026JJ50483
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2026
  • 负责人:
    秦蕾
  • 依托单位:
3D打印Fe/Mn双组分多层孔道电极电化学靶向回收浮选复合废水中Sb(V)的机理研究
  • 批准号:
    2026JJ50213
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2026
  • 负责人:
    侯保林
  • 依托单位: