Representing Uncertainty in Acquired Depth Models

Project Members

Robert Pless
Bill Smart
John Larson

Motivation/Application

Vision based navigation systems have not been widely deployed, despite the great deal of effort that has gone into researching the structure from motion and vision based control. One reason for this is the prevalence forced-choice parameter estimation, which use tools such as maximum likelihood estimation, to estimate particular parameters such as the structure of the scene or the motion of the camera. The alternative to this is to maintain a probability distribution over the parameter solution set. This project explores uses for such representations of scene structure and camera motions, especially questions in rendering models of objects with uncertain structure.

Approach

The approach is to replace the depth map as the desired output of stereo or structure from motion.

Results / Timeline

Point of Contact