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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Magarey, J. Dick, A. |
| Copyright Year | 1998 |
| Description | Author affiliation: Cooperative Res. Centre for Sensor Signal & Inf. Process., Adelaide, SA, Australia (Magarey, J.) |
| Abstract | This paper describes a multiresolution image-matching strategy, based on the complex discrete wavelet transform (CDWT), to derive a dense disparity field with hierarchical (coarse-to-fine) refinement. The CDWT feature space efficiently provides fractionally accurate matching results which are robust to typical image formation perturbations such as offsets, global scaling, and additive noise. At each level of the hierarchy, the disparity field is regularised to provide a global compromise between feature similarity and disparity field continuity, resulting in feature-sensitive smoothing. The algorithm is well suited to analysing facial images, for which we demonstrate striking reconstruction results. |
| Starting Page | 4 |
| Ending Page | 7 |
| File Size | 353680 |
| Page Count | 4 |
| File Format | |
| ISBN | 0818685123 |
| ISSN | 10514651 |
| DOI | 10.1109/ICPR.1998.711065 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1998-08-20 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image resolution Image matching Signal resolution Discrete wavelet transforms Identity-based encryption Surface reconstruction Signal processing Information processing Australia Neutron spin echo |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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