Sensors

Better Robot Vision

Posted 23 Feb 2003 at 17:16 UTC by steve Share This

A research paper (PDF format) from the CMU Robotics Institute describes a new approach to the problems of tracking and structure from motion (SFM) in robot vision. In previous systems tracking was done as a first step and the stabalized image was passed to a second step in which the structure of features was extracted. This has been a problematic approach in the real world because the tracking layer can't compensate for occlusions or abrupt camera motion. In his paper, Peng Chang proposes combining SFM with tracking. Having information about the structures and content of the view allow the tracking layer to reason about sudden changes in an intelligent way. The paper includes lots of example photos from a 360 degree view vision system on a test robot.

See more of the latest robot news!

Recent blogs

8 Apr 2014 Petar.Kormushev (Master)
6 Apr 2014 steve (Master)
4 Apr 2014 mwaibel (Master)
28 Mar 2014 shimniok (Journeyer)
10 Mar 2014 Flanneltron (Journeyer)
2 Mar 2014 wedesoft (Master)
1 Dec 2013 AI4U (Observer)
13 Nov 2013 jlin (Master)
23 Jun 2013 Mubot (Master)
13 May 2013 JLaplace (Observer)
X
Share this page