M.I.T. Media Lab Vision and Modeling Group Technical Report No. 163, Feb.
Cooperative Robust Estimation Using Layers of Support
Trevor J. Darrell and Alex P. Pentland
(Revised March 7, 1994)
We present an approach to the problem of representing images that contain
multiple objects or surfaces. Rather than use an edge-based approach to
represent the segmentation of a scene, we propose a multi-layer estimation
framework which uses support maps to represent the segmentation of the image
into homogeneous chunks. This support-based approach can represent objects
that are split into disjoint regions, or have surfaces that are transparently
interleaved. Our framework is based on an extension of robust estimation
methods which provide a theoretical basis for support-based estimation.
The Minimum Description Length principle is used to decide how many support
maps to use in describing a particular image. We show results applying this
framework to heterogeneous interpolation and segmentation tasks on range
and motion imagery.
version of this report is available.