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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Madarasmi, S. Kersten, D. Pong, T.C. |
| Copyright Year | 1993 |
| Description | Author affiliation: Univ. of Minnesota, Minneapolis, MN, USA (Madarasmi, S.; Kersten, D.) |
| Abstract | A multilayer, depth planes approach to image segmentation is proposed, where pixels may have arisen from a single smooth surface in the scene are represented in a common layer. Two types of output are produced at each pixel, i.e., a layer number and a vector of depth values, one value for each layer. The layer assignment performs image partitioning based on surface properties. The depth value assignment for each layer either represents the input data with the noise removed or interpolates between data values to fill-in nonvisible parts of the scene. The disjoint surfaces due to occlusion or transparency are also grouped together if they form a smooth surface.< |
| Starting Page | 774 |
| Ending Page | 775 |
| File Size | 176418 |
| Page Count | 2 |
| File Format | |
| ISBN | 081863880X |
| ISSN | 10636919 |
| DOI | 10.1109/CVPR.1993.341169 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1993-06-15 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation Computer science Psychology Layout Additive noise Gaussian noise Pixel Bayesian methods Image edge detection Contracts |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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