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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Pagliari, C.L. Dennis, T.J. |
| Copyright Year | 1997 |
| Description | Author affiliation: Dept. of Electron. Syst. Eng., Essex Univ., Colchester, UK (Pagliari, C.L.) |
| Abstract | The objective of stereo matching is, given a point in one view of a scene, to find the homologous point in another view from an adjacent camera. We use the discrete cosine transform (DCT) with evolutionary methods as an approach to solve the correspondence problem. The matching process is implemented by generating for each image block sets of DCT coefficients, which when reverse transformed become the estimated disparity map for that block. Assumed statistical properties of the AC coefficients are taken into account, while the DC component is estimated from a preliminary block matching stage. Matching is performed in the image domain using an intensity similarity measure. The job of optimising the DCT coefficients, whose inverse transform gives the disparity, is carried out by a biologically inspired optimisation technique: the genetic algorithm. |
| Starting Page | 256 |
| Ending Page | 259 |
| File Size | 502943 |
| Page Count | 4 |
| File Format | |
| ISBN | 0818681837 |
| DOI | 10.1109/ICIP.1997.632080 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1997-10-26 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Discrete cosine transforms Genetic algorithms Evolution (biology) Biological cells AC generators Systems engineering and theory Layout Cameras Image generation Robots |
| Content Type | Text |
| Resource Type | Article |
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