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    Statistical and geometric methods for shape-driven segmentation and tracking 

    Dambreville, Samuel (Georgia Institute of Technology, 2008-03-05)
    Computer Vision aims at developing techniques to extract and exploit information from images. The successful applications of computer vision approaches are multiple and have benefited diverse fields such as manufacturing, ...
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    Efficiently mapping high-performance early vision algorithms onto multicore embedded platforms 

    Apewokin, Senyo (Georgia Institute of Technology, 2009-01-09)
    The combination of low-cost imaging chips and high-performance, multicore, embedded processors heralds a new era in portable vision systems. Early vision algorithms have the potential for highly data-parallel, integer ...
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    Obstacle detection using a monocular camera 

    Goroshin, Rostislav (Georgia Institute of Technology, 2008-05-19)
    The objective of this thesis is to develop a general obstacle segmentation algorithm for use on board a ground based unmanned vehicle (GUV). The algorithm processes video data captured by a single monocular camera mounted ...
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    Statistical and geometric methods for visual tracking with occlusion handling and target reacquisition 

    Lee, Jehoon (Georgia Institute of Technology, 2012-01-17)
    Computer vision is the science that studies how machines understand scenes and automatically make decisions based on meaningful information extracted from an image or multi-dimensional data of the scene, like human vision. ...
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    Robust target localization and segmentation using statistical methods 

    Arif, Omar (Georgia Institute of Technology, 2010-04-05)
    This thesis aims to contribute to the area of visual tracking, which is the process of identifying an object of interest through a sequence of successive images. The thesis explores kernel-based statistical methods, which ...
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    Visual arctic navigation: techniques for autonomous agents in glacial environments 

    Williams, Stephen Vincent (Georgia Institute of Technology, 2011-06-15)
    Arctic regions are thought to be more sensitive to climate change fluctuations, making weather data from these regions more valuable for climate modeling. Scientists have expressed an interest in deploying a robotic sensor ...
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    Detecting and tracking moving objects from a moving platform 

    Lin, Chung-Ching (Georgia Institute of Technology, 2012-05-04)
    Detecting and tracking moving objects are important topics in computer vision research. Classical methods perform well in applications of steady cameras. However, these techniques are not suitable for the applications of ...
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    Statistical methods for coupling expert knowledge and automatic image segmentation and registration 

    Kolesov, Ivan A. (Georgia Institute of Technology, 2012-12-20)
    The objective of the proposed research is to develop methods that couple an expert user's guidance with automatic image segmentation and registration algorithms. Often, complex processes such as fire, anatomical ...

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    AuthorApewokin, Senyo (1)Arif, Omar (1)Dambreville, Samuel (1)Goroshin, Rostislav (1)Kolesov, Ivan A. (1)Lee, Jehoon (1)Lin, Chung-Ching (1)Williams, Stephen Vincent (1)Subject
    Algorithms (8)
    Computer vision (8)
    Active contours (2)Automatic tracking (2)Image processing (2)Image processing Digital techniques (2)Image segmentation (2)Pattern recognition systems (2)Visual tracking (2)Arctic (1)... View MoreDate Issued2012 (3)2008 (2)2009 (1)2010 (1)2011 (1)Has File(s)Yes (8)
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