Tomasi

Results: 101



#Item
11

3D Tracking = Classification + Interpolation Carlo Tomasi, Slav Petrov, and Arvind Sastry Department of Computer Science Duke University — Durham, NCAbstract

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Source URL: www.cs.duke.edu

- Date: 2003-11-07 18:39:10
    12

    TOPOLOGICAL PERSISTENCE ON A JORDAN CURVE Ying Zheng, Steve Gu and Carlo Tomasi Department of Computer Science Duke University, Durham, NC USAABSTRACT Topological persistence measures the resilience of extrema of

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    Source URL: www.cs.duke.edu

    - Date: 2012-01-11 15:56:38
      13

      Fast, Robust, and Consistent Camera Motion Estimation Tong Zhang and Carlo Tomasi* Computer Science Department Stanford University, Stanford, CA, 94305 , Abstract

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      Source URL: www.cs.duke.edu

      - Date: 2009-08-31 08:31:19
        14

        PHYSICAL REVIEW D 73, High energy inelastic electron-hadron scattering in peripheral kinematics: Sum rules for hadron form factors E. A. Kuraev,1 M. Secˇansky´,1,* and E. Tomasi-Gustafsson1 1

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        Source URL: hepd.pnpi.spb.ru

        - Date: 2012-07-10 04:43:53
          15

          research highlights doi:Technical Perspective Visual Reconstruction By Carlo Tomasi

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          Source URL: www.cs.duke.edu

          Language: English - Date: 2011-09-26 17:48:36
            16

            Sixth International Symposium on Robotics Research, MIT Press, 1993 Input Redundancy and Output Observability in the Analysis of Visual Motion Carlo Tomasi

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            Source URL: www.cs.duke.edu

            Language: English - Date: 1998-04-24 16:37:48
              17

              IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, Surfaces with Occlusions from Layered Stereo Michael H. Lin and Carlo Tomasi Abstract—We propose a new binocular stereo algorithm that estimates scene

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              Source URL: www.cs.duke.edu

              Language: English - Date: 2004-07-13 15:25:29
                18

                Tracking Multiple People Online and in Real Time Ergys Ristani, Carlo Tomasi Duke University Abstract. We cast the problem of tracking several people as a graph

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                Source URL: www.cs.duke.edu

                Language: English - Date: 2014-09-19 16:05:44
                  19

                  Mobile Robot Obstacle Avoidance Via Depth From Focus  Illah R. Nourbakhsh, David Andre, Carlo Tomasi, and Michael R. Genesereth Computer Science Department, Stanford University Stanford, CAAbstract

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                  Source URL: www.cs.duke.edu

                  Language: English - Date: 1998-04-24 16:11:26
                    20

                    Dense Lagrangian Motion Estimation with Occlusions Susanna Ricco Carlo Tomasi Duke University Durham, NC USA {sricco, tomasi}@cs.duke.edu

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                    Source URL: www.cs.duke.edu

                    Language: English - Date: 2012-05-29 12:03:26
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