Range segmentation

Results: 48



#Item
1High-Dynamic-Range Imaging for Cloud Segmentation Soumyabrata Dev1,3 , Florian M. Savoy2 , Yee Hui Lee1 , and Stefan Winkler2 1 2 3

High-Dynamic-Range Imaging for Cloud Segmentation Soumyabrata Dev1,3 , Florian M. Savoy2 , Yee Hui Lee1 , and Stefan Winkler2 1 2 3

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Source URL: vintage.winklerbros.net

Language: English - Date: 2018-03-04 20:20:09
    2Efficient Hierarchical Graph-Based Segmentation of RGBD Videos Steven Hickson1 Stan Birchfield2  Irfan Essa1

    Efficient Hierarchical Graph-Based Segmentation of RGBD Videos Steven Hickson1 Stan Birchfield2 Irfan Essa1

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    Source URL: www.cc.gatech.edu

    Language: English - Date: 2014-07-16 10:51:30
    3Finding Textures in Sketches using Planar Ising Models Matthew D. McLure, Subu Kandaswamy, and Kenneth D. Forbus Northwestern University Abstract Creating software that can understand the range of sketches

    Finding Textures in Sketches using Planar Ising Models Matthew D. McLure, Subu Kandaswamy, and Kenneth D. Forbus Northwestern University Abstract Creating software that can understand the range of sketches

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    Source URL: qr15.sift.net

    Language: English - Date: 2015-08-11 09:14:44
    4Normal Estimation for Pointcloud using GPU based Sparse Tensor Voting Ming Liu, Franc¸ois Pomerleau, Francis Colas, Roland Siegwart Autonomous Systems Lab, ETH Zurich, Switzerland [ming.liu, francois.pomerleau, francis.

    Normal Estimation for Pointcloud using GPU based Sparse Tensor Voting Ming Liu, Franc¸ois Pomerleau, Francis Colas, Roland Siegwart Autonomous Systems Lab, ETH Zurich, Switzerland [ming.liu, francois.pomerleau, francis.

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    Source URL: ram-lab.com

    Language: English - Date: 2015-12-18 03:33:57
    5Articulated Motion Discovery using Pairs of Trajectories Luca Del Pero1  1  Susanna Ricco2

    Articulated Motion Discovery using Pairs of Trajectories Luca Del Pero1 1 Susanna Ricco2

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    Source URL: www.cv-foundation.org

    Language: English - Date: 2015-05-25 21:19:04
    6This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGEN

    This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGEN

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    Source URL: www.cs.berkeley.edu

    Language: English - Date: 2010-11-19 00:25:01
    7The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-3/W2, 2015 PIA15+HRIGI15 – Joint ISPRS conference 2015, 25–27 March 2015, Munich, Germany Segmentation of U

    The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-3/W2, 2015 PIA15+HRIGI15 – Joint ISPRS conference 2015, 25–27 March 2015, Munich, Germany Segmentation of U

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    Source URL: www.reconass.eu

    Language: English - Date: 2015-04-28 11:15:50
    8Improved Proposals for Highly Accurate Localization Using Range and Vision Data Stefan Oßwald Armin Hornung

    Improved Proposals for Highly Accurate Localization Using Range and Vision Data Stefan Oßwald Armin Hornung

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    Source URL: hrl.informatik.uni-freiburg.de

    Language: English - Date: 2012-07-23 03:50:59
    9EUROGRAPHICSK. Hormann and O. Staadt  STAR – State of The Art Report The State of the Art in HDR Deghosting: A Survey and Evaluation

    EUROGRAPHICSK. Hormann and O. Staadt STAR – State of The Art Report The State of the Art in HDR Deghosting: A Survey and Evaluation

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    Source URL: web.cs.hacettepe.edu.tr

    Language: English - Date: 2015-03-18 02:04:27
    10Digital Perception Lab.  Dept. Electrical and Computer Systems Engineering Monash University  „

    Digital Perception Lab. Dept. Electrical and Computer Systems Engineering Monash University „

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    Source URL: www.ecse.monash.edu.au

    Language: English - Date: 2004-03-10 17:10:35