Broad Area Colloquium For AI-Geometry-Graphics-Robotics-Vision
Toward a Geometrically Coherent Image Interpretation
Alexei (Alyosha) Efros
April 10, 2006, 3:15PM (NOT 4:15PM)
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.
About the Speaker
Alexei (Alyosha) Efros is originally from St. Petersburg, Russia, but, due
to some mix-up at the travel agency, he now lives in Pittsburgh, USA.
Alyosha got his PhD from UC Berkeley in 2003 under the direction of
Jitendra Malik. He then spent a year as a Visiting Research Fellow in
lovely Oxford, working with Andrew Zisserman and the Visual Geometry
Group. Since 2004, he is an assistant professor at Carnegie Mellon
University. Alyosha's research interests are in the area of computer
vision and computer graphics, especially at the intersection of the two.
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