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Special GRASP Seminar: Phillipos Modrohai, Stevens Institute of Technology, “The Roles of Uncertainty in 3D Reconstruction”

February 7, 2013 @ 3:00 pm - 4:00 pm

Abstract: 3D reconstruction from two or more images is one of
the most well-studied problems in computer vision. Due to the inverse
nature of the problem, the reconstructed models typically suffer from
various errors. In this talk, I will distinguish between two types of
uncertainty that can cause these errors, namely correspondence and
geometric uncertainty. The former refers to the uncertainty in
determining the correct match for a given pixel while the latter refers
to the uncertainty in the coordinates of the reconstructed 3D point,
assuming that correct correspondences have been established. Based on
this analysis, I will present an approach for depth map fusion and a
solution to the next-best-view problem in target localization that
benefit from explicit uncertainty modeling.


- Learn More

Philippos Mordohai is an
Assistant Professor of Computer Science at the Stevens Institute of
Technology. Prior to that, he held postdoctoral researcher positions at
the University of North Carolina and the University of Pennsylvania. He
holds the Diploma in Electrical and Computer Engineering from the
Aristotle University of Thessaloniki, Greece, and the MS and PhD
degrees, both in Electrical Engineering, from the University of
Southern California. His research interest include 3D reconstruction
from images and video, range data analysis, perceptual organization and
manifold learning. He serves as an Associate Editor for the Journal of
Image and Vision Computing and as a reviewer for numerous international
journals and conferences. He has organized several workshops and
symposia and serves as Doctoral Consortium Chair at CVPR 2013.


February 7, 2013
3:00 pm - 4:00 pm
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