Supervised disparity estimation

We introduce supervised disparity estimation in which an operator can steer the disparity estimation process. Instead of correcting errors, we view the estimation process as a constrained process where the constraints are indicated by the user in the form of control points, scribbles and contours. Control points are used to obtain accurate disparity estimates that can be fully controlled by the operator. Scribbles are used to force regions to have a smooth disparity, while contours create a disparity discontinuity in places where diffusion or energy minimization fail. Control points, scribbles and contours are propagated through the video sequence to create temporally stable results. © 2012 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).

ISBN:9780819489357

Publication year:2012

Accessibility:Open