A few questions addressed
in the lecture |
|
|
Monday
25 February |
|
16:30 17:25 |
Lecture
5 |
Introduction to object recognition and scene
understanding |
Samuele Carli
Martin Hellmich
|
Description
This lecture gives an introduction
to object recognition. It expands the topic of stereo vision
and describes different object recognition techniques,
involving object discrimination through texture and
geometric properties (like shape, occlusion and overlapping
of objects) to perform both instance recognition and
classification. It gives a soft comparison between
artificial recognition and how the human brain recognizes
items in its environment.
|
Audience and benefits
This lecture targets everyone interested in the topic of
artificial object recognitors and classifiers, as well as
techniques for texture and geometric properties
discrimination.
After this lecture the attendees are
able to understand the main challenges which computer vision
is facing as well as some of the basic ideas and musings
behind existing and future solutions.
|
Pre-requisite
This lecture can be followed by
anyone having interest in the subject and with basic
knowledge of linear algebra. The preceding lectures of this
series are recommended if you are not familiar with the
concepts of image manipulation and vision systems or image's
features detection and 3D reconstruction. Nevertheless
the main concepts explained in this lecture will be
understandable by everyone..
|