A feature-based stereo matching algorithm
| Autor: | O. Parlaktuna, S. On, Muammer Akçay |
|---|---|
| Rok vydání: | 2002 |
| Předmět: |
Maximally stable extremal regions
Computer science Orientation (computer vision) business.industry Template matching ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition Edge detection Feature (computer vision) Computer Science::Computer Vision and Pattern Recognition Computer vision Artificial intelligence business Algorithm Stereo camera Computer stereo vision Feature detection (computer vision) |
| Zdroj: | Proceedings of MELECON '94. Mediterranean Electrotechnical Conference. |
| DOI: | 10.1109/melcon.1994.381121 |
| Popis: | A method is proposed to match two images of the same scene taken from different viewing positions. To do this, a feature-based stereo matching algorithm is used. Linear edges are first extracted from both the left and right images. Each linear edge is characterized by its position, orientation, and relationship with the nearby features. For each feature in one image, a set of potential matches in the other image is determined by the use of matching rules resulting from the relations between the edges. These rules were applied on the real images and then disparity was calculated. > |
| Databáze: | OpenAIRE |
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