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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?
Check out our lastest publications in Google Scholar.
SITUP: Scale Invariant Tracking using Average Peak-to-Correlation Energy

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!

FAST: Fast and Accurate Scale Estimation for Tracking

We propose a scale searching scheme that obtains robust and accurate scale estimation by incorporating a novel and robust criterion, the average peakto-correlation energy, into a multi-resolution translation filter framework...Code available!

GlidarCo: gait recognition by 3D skeleton estimation and biometric feature correction of flash lidar 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 under the described condition...

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 have proven 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...

LCuts: Linear Clustering of Bacteria using Recursive Graph Cuts

A graph-based data clustering method, LCuts, is presented with the application on bacterial cell segmentation. The method assists in the assessment of several facets, such as bacterium tracking, cluster growth, and mapping of migration patterns of bacterial biofilms...


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WE ARE VIVA

Learn more about our cool members and excellent alumni! Check out our current work in VIVA and latest publiations in Google Scholar page.

CONTACT US
Scott T. Acton
P.O.Box 400743, Charlottesville, VA 22904
viva.uva@gmail.com