Browsing Computational Perception & Robotics by Subject "Parameters"
Now showing items 1-3 of 3
(Georgia Institute of Technology, 2002)This note represents my attempt at explaining the EM algorithm. This is just a slight variation on Tom Minka's tutorial, perhaps a little easier (or perhaps not). It includes a graphical example to provide some intuition.
(Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2006-06)We present a novel method for recovering the 3D-line structure of a scene from multiple widely separated views. Traditional optimization-based approaches to line-based structure from motion minimize the error between ...
(Georgia Institute of TechnologySpringer Berlin / Heidelberg, 2005)We present a method for efficiently tracking objects represented as constellations of parts by integrating out the shape of the model. Parts-based models have been successfully applied to object recognition and tracking. ...