Australian Centre for Visual Technologies Blog

Michael Brown seminar
December 11, 2009, 1:36 am
Filed under: events

On 26 Nov, Dr Michael Brown from the National University of Singapore presented a seminar at the ACVT titled ‘Interactive computer vision: Exploiting meaningful interaction in computer vision applications’:

A dark secret in the computer vision and image processing research community is the heavy reliance on magic numbers by our algorithms. Magic numbers often manifest themselves as algorithmic parameters that must be tuned before satisfactory results can be obtained. This over reliance on parameter tuning stems, in part, from the long-standing dogma that computer vision algorithms should be fully automated. Interestingly, requiring the user to tune parameters, most of which have no intuitive meaning to the task at hand, is far from automatic. In fact, it is a major stumbling block when building real world computer vision applications.

In this talk, I will advocate that for many computer vision and image processing applications magic numbers can be avoided if we instead exploit the user’s help via meaningful interaction. This approach to solving problems has been termed interactive computer vision and has proven effective in many tasks such as segmentation, matting, and image repair. Specifically, I discuss several examples from our own research that have transformed problems either too difficult to automate or heavily reliant on parameter tuning into applications that now rely only on simple, and easy to understand, interaction supplied by the user.

Leave a Comment so far
Leave a comment

Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

%d bloggers like this: