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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Torr, P.H.S. Szeliski, R. Anandan, P. |
| Copyright Year | 1999 |
| Description | Author affiliation: Microsoft Corp., Redmond, WA, USA (Torr, P.H.S.) |
| Abstract | This paper describes a Bayesian approach for modeling 3D scenes as a collection of approximately planar layers that are arbitrarily positioned and oriented in the scene. In contrast to much of the previous work on layer based motion modeling, which compute layered descriptions of 2D image motion, our work leads to a 3D description of the scene. We focus on the key problem of automatically segmenting the scene into layers as a precursor to recovery of stereo disparity data. The prior assumptions about the scene are formulated within a Bayesian decision making framework, and are then used to automatically determine the number of layers and the assignment of individual pixels to layers. Although using a collection of 3D layers has been previously proposed as an efficient and effective representation for multimedia applications, results to date have relied on hand segmentation. In contrast, the work described aims at fully automatic segmentation. |
| Starting Page | 983 |
| Ending Page | 990 |
| File Size | 338410 |
| Page Count | 8 |
| File Format | |
| ISBN | 0769501648 |
| DOI | 10.1109/ICCV.1999.790355 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1999-09-20 |
| Publisher Place | Greece |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Bayesian methods Image sequences Layout Image segmentation Sprites (computer) Decision making Solid modeling Rendering (computer graphics) Geometry Image coding |
| Content Type | Text |
| Resource Type | Article |
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