Showing 181 - 200 results of 3,335 for search '"Stereos"', query time: 0.11s Refine Results
  1. 181
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    Active Video Surveillance Based on Stereo and Infrared Imaging by Davide Moroni, Gabriele Pieri

    Published 2007-12-01
    “…Within this topics, we address the problem of firstly identifying moving people in a scene through motion detection techniques, and subsequently categorising them in order to identify humans for tracking their movements. The use of stereo cameras, coupled with infrared vision, allows to apply this technique to images acquired through different and variable conditions, and allows an a priori filtering based on the characteristics of such images to give evidence to objects emitting a higher radiance (i.e., higher temperature).…”
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  3. 183

    Multi-View Stereo Network With Gaussian Distribution Iteration by Xiaohan Zhang, Shikun Li

    Published 2023-01-01
    Subjects: “…Multi-view stereo…”
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    Article
  4. 184
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    Dual Guided Aggregation Network for Stereo Image Matching by Ruei-Ping Wang, Chao-Hung Lin

    Published 2022-08-01
    “…Stereo image dense matching, which plays a key role in 3D reconstruction, remains a challenging task in photogrammetry and computer vision. …”
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  6. 186

    Multi-Scale Dense Attention Network for Stereo Matching by Yuhui Chang, Jiangtao Xu, Zhiyuan Gao

    Published 2020-11-01
    Subjects: “…stereo matching…”
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  7. 187

    Spatial‐tree filter for cost aggregation in stereo matching by Yusheng Jin, Hong Zhao, Penghui Bu

    Published 2021-08-01
    “…Extensive experiments demonstrate the effectiveness and efficiency of our spatial‐tree filter in image smoothing and stereo matching. Our method performs better than the existing tree‐based non‐local method in cost aggregation.…”
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  8. 188

    A Data-Driven Regularization Model for Stereo and Flow by Freeman, William T., Wei, Donglai, Liu, Ce

    Published 2015
    “…In this paper, we present a new regularization model for stereo or flow through transferring the shape information of the disparity or flow from semantically matched patches in the training database. …”
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  9. 189

    Pushbroom stereo for high-speed navigation in cluttered environments by Barry, Andrew J., Tedrake, Russell Louis

    Published 2016
    “…We present a novel stereo vision algorithm that is capable of obstacle detection on a mobile ARM processor at 120 frames per second. …”
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    High‐speed autonomous obstacle avoidance with pushbroom stereo by Barry, Andrew J, Florence, Peter R, Tedrake, Russ

    Published 2021
    “…We present a novel integrated approach to perception and control using pushbroom stereo, which exploits forward motion to enable efficient obstacle detection and avoidance using lightweight processors on an unmanned aerial vehicle. …”
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  13. 193

    Computational stereo camera system with programmable control loop by Heinzle, Simon, Greisen, Pierre, Gallup, David, Chen, Christine, Saner, Daniel, Smolic, Aljoscha, Burg, Andreas, Matusik, Wojciech, Gross, Markus

    Published 2021
    “…In this paper, we present a computational stereo camera system that closes the control loop from capture and analysis to automatic adjustment of physical parameters. …”
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  14. 194

    Computational stereo camera system with programmable control loop by Heinzle, Simon, Greisen, Pierre, Gallup, David, Chen, Christine, Saner, Daniel, Smolic, Aljoscha, Burg, Andreas, Matusik, Wojciech, Gross, Markus

    Published 2022
    “…In this paper, we present a computational stereo camera system that closes the control loop from capture and analysis to automatic adjustment of physical parameters. …”
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    Article
  15. 195

    Self-Supervised Moving Vehicle Tracking With Stereo Sound by Gan, Chuang, Zhao, Hang, Chen, Peihao, Cox, David, Torralba, Antonio

    Published 2021
    “…At test time, the stereo-sound student network can work independently to perform object localization using just stereo audio and camera meta-data, without any visual input. …”
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    Computational Experiments with a Feature Based Stereo Algorithm by Grimson, W. Eric L.

    Published 2004
    “…Computational models of the human stereo system can provide insight into general information processing constraints that apply to any stereo system, either artificial or biological. …”
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