VIVA

Time 2020-12-10 08:03:26

Web Name: VIVA

WebSite: http://viva-lab.ece.virginia.edu

ID:129440

Keywords:

VIVA,

Description:

IMAGING LIFE AT SCALES BELOW THE DIFFRACTION LIMIT We are collaborating with the Gahlmann Lab in UVA Chemistry on analyzing images of living bacterial biofilms. See more... WORK ON IMAGE ANALYSIS FOR NEUROSCIENCE We are collaborating with UVA neuroscientists and biologists to address the most important question in all of engineering and medicine... how does the brain work? See more... Non-invasive single-cell morphometry in living bacterial biofilms In this work, we present Bacterial Cell Morphometry 3D (BCM3D), an image analysis workflow that combines deep learning with mathematical image analysis to accurately segment and classify single bacterial cells in 3D fluorescence images...Code available! Details SITUP: Scale Invariant Tracking using Average Peak-to-Correlation Energy Robust and accurate scale estimation of a targetobject is a challenging task in visual object tracking. We propose to incorporate a novel criterion called the average peak-to-correlation energy into the multi-resolution translation filter framework to obtain robust and accurate scale estimation...Code available! Details We propose a scale searchingscheme that obtains robust and accurate scale estimation byincorporating a novel and robust criterion, the average peakto-correlation energy, into a multi-resolution translation filterframework...Code available! Details GlidarCo: gait recognition by 3D skeleton estimation and biometric feature correction of flashlidar data A flash lidar can provide new opportunities for gait recognition; however, the lower quality and noisy imaging process of flash lidar negatively affects the performance of conventional solutions including the state-of-the-art skeleton-based systems. We present a filtering mechanism that corrects noisy and missing skeleton joint measurements to improve gait recognition...( See more about the project) Details NeuroPath2Path: Classification and elastic morphing between neuronal arbors using path-wise similarity The shape and connectivity of a neuron determine its function. Modern imaging methods haveproven successful at extracting such information. NeuroPath2Path is an effective application for neuronal morphological representation. The morphology of a neuron, which consists of its overall size, global shape, local branch patterns... Details

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