Qingxu Dou

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We address the problem of accurately locating buried utility segments by fusing data from multiple sensors using a novel Marching-Cross-Section (MCS) algorithm. Five types of sensors are used in this work: Ground Penetrating Radar (GPR), Passive Magnetic Fields (PMF), Magnetic Gradiometer (MG), Low Frequency Electromagnetic Fields (LFEM) and Vibro-Acoustics(More)
We present a novel framework for multi-view stereo that poses the problem of recovering a 3D surface in the scene as a regularized minimal partition problem of the visibility function in the presence of clutter. We introduce a simple and robust method to integrate estimates from several views that tolerates both static and time-varying clutter. Our(More)
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