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CISE Research Resources: A Compute-Intensive Sensor-Based Environment for Research in Computer Vision and Artificial Intelligence

CISE Research Resources: A Compute-Intensive Sensor-Based Environment for Research in Computer Vision and Artificial Intelligence
CISE 研究资源:用于计算机视觉和人工智能研究的基于计算密集型传感器的环境
批准号:
0130768
负责人:
Sudeep Sarkar
金额:
$14.12万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2001
资助国家:
美国
项目状态:
已结题
起止时间:
2001-09-15 至 2003-08-31

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中文摘要
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英文摘要
EIA-0130768 Sudeep SarkarUniversity of South FloridaCISE Research Resources: A Compute-Intensive Sensor-Based Environment for Research in Computer Vision and Artificial IntelligenceAutomated learning of grouping parameters for perceptual organization of complex images, modeling and reconstruction of elastic objects from image sequences, real-time matching of buyers and sellers for E-commerce, and learning models from extremely large databases, all require large data storage and a computing environment that supports exploring extremely large parameter spaces along with the ability to process huge quantities of data. A multiprocessor computing environment with substantial memory and disk storage is requested for high-performance computing associated with these four research projects in the general areas of computer vision and artificial intelligence. The compute server will increase the present capabilities by an order of magnitude.In addition, image acquisition devices, including high-resolution color cameras, digital video cameras, stereo cameras, and laser range scanners are requested for gathering color, motion, and range data. The ability to acquire fast range images and motion sequences will enable the consideration of the problem of integrating motion and range into the perceptual organization process. Also, the ability to acquire fast and high-resolution range, with registered color, will facilitate development of physics-based non-rigid algorithms and models that incorporate true material properties, which have, heretofore, not been possible.
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DOI: 10.1109/tpami.2005.39
发表时间: 2005-02-01
期刊: IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
影响因子: 23.6
作者: [Sarkar, S, Phillips, PJ, Bowyer, KW]
通讯作者: Bowyer, KW
Collaborative Research: RI:Medium:Understanding Events from Streaming Video - Joint Deep and Graph Representations, Commonsense Priors, and Predictive Learning
  • 批准号:
    1956050
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $42.12万
  • 财政年份:
    2020
  • 负责人:
    Sudeep Sarkar
  • 依托单位:
I-Corps Sites: Type II - I-Corps Site at University of South Florida Tampa
  • 批准号:
    1829217
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $16.0万
  • 财政年份:
    2018
  • 负责人:
    Sudeep Sarkar
  • 依托单位:
I-Corps: Semantic Video - from Video to Descriptions
  • 批准号:
    1647887
  • 项目类别:
    Standard Grant
  • 资助金额:
    $5.0万
  • 财政年份:
    2016
  • 负责人:
    Sudeep Sarkar
  • 依托单位:
I-Corps Sites: University of South Florida: Catalyzing Research Translation
  • 批准号:
    1449137
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $29.97万
  • 财政年份:
    2015
  • 负责人:
    Sudeep Sarkar
  • 依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)