A layered approach to stereo reconstruction

Abstract
We propose a framework for extracting structure from stereo which represents the scene as a collection of approx- imately planar layers. Each layer consists of an explicit 3D plane equation, a colored image with per-pixel opac- ity (a sprite), and a per-pixel depth offset relative to the plane. Initial estimates of the layers are recovered using techniques taken from parametric motion estimation. These initial estimates are then refined using a re-synthesis algo- rithm which takes into account both occlusions and mixed pixels. Reasoning about such effects allows the recovery of depth and color information with high accuracy, even in partially occluded regions. Another important benefit of our framework is that the output consists of a collection of approximately planar regions, a representation which is far more appropriate than a dense depth map for many appli- cations such as rendering and video parsing.

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