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GRASP Seminar Series: Fall 2006
October 20, 11:00 a.m., Wu & Chen Auditorium
Alyosha Efros
Carnegie Mellon University
Abstract: Image interpretation, the
ability to see and understand the
three-dimensional world behind a two-dimensional image, goes to the
very
heart of the computer vision problem. The ultimate objective is, given
an
image, to automatically produce a coherent interpretation of the depicted
scene. This requires not only recognizing specific objects (e.g. people,
houses, cars, trees), but understanding the underlying structure of
the 3D
scene where these objects reside.
In this talk I will describe some of our recent efforts
toward this lofty
goal. I will present an approach for estimating the coarse geometric
properties of a scene by learning appearance-based models of geometric
classes. Geometric classes describe the 3D orientation of image regions
with respect to the camera. This geometric information is then combined
with camera viewpoint estimation and local object detection producing
a
prototype for a coherent image-interpretation framework.
Joint work with Derek Hoiem and Martial Hebert at CMU.
Biography: Alyosha Efros is Assistant Professor
of Computer Science at
Carnegie Mellon University. His research is in the area of computer
graphics and
computer vision, especially at the intersection of the two. His current
research
interests include coherent image understanding, object and scene recognition,
image- and video-based modeling and rendering, human action recognition/synthesis,
video-based scene analysis/synthesis, and texture/material analysis
and synthesis.
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Last update:11 October, 2006